Jian Zhang

Background: Carotid plaque rupture is a critical event in ischemic stroke, yet the potential involvement of the intraplaque microbiota across disease stages remains unclear. Methods: We performed dual-omics profiling by analyzing host transcriptomes and PathSeq-derived microbiomes from 48 human carotid RNA-seq specimens spanning early lesions (intimal thickening; n = 10), stable plaques (n = 20), and unstable plaques (n = 18). Host transcriptomes were profiled alongside intraplaque microbiomes extracted via the GATK PathSeq pipeline with rigorous in silico decontamination. We integrated differential expression analysis, microbial diversity metrics, and functional inference. Furthermore, an integrated machine learning approach (incorporating Boruta feature selection) was employed to identify exploratory cross-kingdom diagnostic biomarkers. Results: Microbial beta diversity diverged significantly across disease stages, accompanied by the progressive upregulation of 54 host genes critical for extracellular matrix remodeling and immune chemotaxis. Strikingly, despite the inherent noise and artifacts associated with low-biomass sequencing, we computationally detected the distinct enrichment of 21 bacterial taxa in unstable plaques, predominantly oral and gut mucosal pathobionts. Computationally inferred functional profiling revealed that these unstable plaque-associated microbiota were significantly linked to predicted cell death, IL-17, and HIF-1 signaling pathways and exhibited strong positive correlations with host matrix-degrading transcripts. Statistical modeling suggested associative links among specific microbial enrichment, host transcriptomic dysregulation, and plaque instability, highlighting concurrent biological cross-talk. Importantly, our integrated machine learning pipeline established a 14-feature cross-kingdom biomarker panel (10 host genes and 4 bacteria) that discriminated stable from unstable plaques (cross-validated AUC = 0.869). Conclusions: Intraplaque microbiome dynamics computationally associate with host transcriptomic alterations during carotid plaque evolution. This synergistic host–microbiome association provides a hypothesis-generating framework linking microbial dysbiosis to plaque destabilization, offering novel mechanistic insights and highlighting the exploratory cross-kingdom biomarker panel as a highly promising foundation for future experimental validation and stage-tailored clinical diagnostics.

Malignant tumor tissues with high proliferative activity are frequently characterized by a rich abundance of cancer-associated fibroblasts (CAFs). Nevertheless, the precise molecular mechanisms by which CAF-tumor cell crosstalk drives malignant proliferation remain incompletely elucidated. In this study, we demonstrate that exosomal microRNAs derived from lung adenocarcinoma cells reprogram adjacent normal fibroblasts into CAFs through downregulation of their common target, FOXN3. Suppression of this transcriptional repressor enhances the expression of genes associated with cell migration and extracellular matrix remodeling, thereby potentiating CAF infiltration into the tumor core. The consequent spatial proximity between CAFs and tumor cells enables the aberrantly altered secretome of CAFs to exert robust paracrine effects on malignancy. By focusing on receptors that interact with these dysregulated secreted proteins, we evaluated the drug sensitivity of patients bearing highly proliferative tumors to receptor-targeting agents, revealing potential therapeutic opportunities. Collectively, our work offers a detailed molecular dissection of tumor cell proliferation and proposes translationally relevant strategies for cancer therapy.

Aims: Reactive oxygen species (ROS) play a vital role in conveying the cytotoxicity and resistance of most chemotherapy drugs. Therefore, gaining a comprehensive understanding of the intricate activities against oxidative stress in cancer cells may provide valuable insights into the discovery of common mechanisms underlying chemoresistance. Results: We identified a novel lncRNA, designated FUAT1, as a key non-genetic player involved in ROS-mediated intrinsic chemoresistance by employing a unique screening strategy based on transcriptome sequencing (RNA-Seq) technology. To further investigate the role of the FUAT1 regulatory axis in chemoresistance, we conducted a series of in vitro and in vivo assays including gain/loss-of-function and rescue experiments. Mechanistically, our findings revealed that FUAT1 upregulates TNS4 by sponging miR-140-5p, which allows gastric cancer cells to survive chemotherapy by inhibiting ROS-mediated apoptosis. Clinically, we observed that the FUAT1/TNS4 regulatory axis is negatively associated with overall survival and progression-free survival among gastric and colon cancer patients treated with 5-FU adjuvant chemotherapy. Innovation: We devised a novel screening strategy distinct from conventional approaches using drug-resistant strains. Through this approach, we identified the previously unrecognized lncRNA FUAT1/TNS4 axis which plays an important role in ROS-mediated intrinsic chemoresistance. Conclusions: Our findings shed light on fundamental adaptive mechanisms employed by cancer cells to respond to chemotherapy and provide new insights into developing strategies aiming at overcom chemoresistance.

Huangqi Guizhi Wuwu Decoction (HGWD), as a classic Chinese herbal decoction, has been widely used in treating various diseases for hundreds of years. However, systematically elucidating its mechanisms of action remains a great challenge to the field. In this study, taking advantage of the network pharmacology approach, we discovered a potential new use of HGWD for patients with colon cancer (CC). Our in vivo result showed that orally administered HGWD markedly inhibited the growth of CC xenografts in mice. The subsequent enrichment analyses for the core therapeutic targets revealed that HGWD could affect multiple biological processes involving CC growth, such as metabolic reprogramming, apoptosis and immune regulation, through inhibiting multiple cell survival-related signalings, including MAPK and PI3K-AKT pathways. Notably, these in silico analysis results were most experimentally verified by a series of in vitro assays. Furthermore, our results based on serum metabolomics showed that the lipid metabolic pathways, including fatty acid biosynthesis and cholesterol metabolism, play key roles in delivery of the anti-CC effect of HGWD on tumor-bearing mice, and that cytochrome P450 family 2 subfamily E member 1 (CYP2E1) is a potential therapeutic target. Together, our integrated approach reveals a therapeutic effect of HGWD on CC, providing a valuable insight into developing strategies to predict and interpret the mechanisms of action for Chinese herbal decoctions.

MicroRNAs in small extracellular vesicle (sEV-miRNAs) have been widely investigated as crucial regulated molecules secreted by tumor cells to communicate with surroundings. It is of great significance to explore the loading mechanism of sEV-miRNAs by tumor cells. Here, we comprehensively illustrated a reasoned loading pathway of batched tumor-promoting sEV-miRNAs in non-small cell lung cancer (NSCLC) cell line A549 with the application of a multi-omics method. The protein heterogeneous nuclear ribonucleoprotein A1 (hnRNPA1) was strictly selected as a powerful sEV-miRNA loading protein from miRNA-binding proteome and further verified through small RNA sequencing after hnRNPA1 silence. In terms of the mechanism, SUMOylated hnRNPA1 in sEVs was verified to control sEV-miRNA loading. Subsequently, as a scaffolding component of caveolae, caveolin-1 (CAV1) was detailedly demonstrated to assist the loading of SUMOylated hnRNPA1 and its binding miRNAs into sEVs. Inhibition of CAV1 significantly prevented SUMOylated hnRNPA1 from encapsulating into sEVs, resulting in less enrichment of sEV-miRNAs it loaded. Finally, we confirmed that hnRNPA1-loaded sEV-miRNAs could facilitate tumor proliferation and migration based on database analysis and cytological experiments. Our findings reveal a loading mechanism of batched tumor-promoting sEV-miRNAs, which may contribute to the selection of therapeutic targets for lung cancer.

Molecules involved in crosstalk between tumor cells and fibroblasts play vital roles in tumor progression. Extracellular matrix proteins, whose abundance is altered after being affected by tumor‐derived exosomes, possess considerable promise as biomarkers for diagnosis or prognosis. In this study, quantitative proteomics is employed to determine the abundance of proteins secreted by normal fibroblasts and exosome‐activated fibroblasts, which first identify differentially secreted proteins affected by lung cancer cell‐derived exosomes. Based on the differentially secreted proteins and multiple independent datasets comprising 1897 patient samples with non‐small cell lung carcinoma or other lung diseases, a diagnostic marker is identified that can effectively distinguish tumor tissues from normal tissue, as well as tumor‐associated stroma from normal stroma, and a five‐gene prognostic signature is presented with independent prognostic impact to identify patients who may require further adjuvant therapy after surgical resection. In addition, the secretome provides novel potential targets for clinical treatment.

Lung cancer has been the leading cause of cancer morbidity and mortality in recent years. Most lung cancers are often asymptomatic until advanced or metastatic stage. Therefore, looking for the diagnostic biomarker for early-stage lung cancer is quite significant. Circulating exosomal microRNAs (miRNAs) have been reported to be the diagnostic and prognostic markers of various cancers. Here, we obtained circulating exosomal miRNA repertoires of 7 early-stage lung adenocarcinoma patients including pre-operation and post-operation (LA-pre and LA-post) and 7 heathy controls (HCs) by next generation sequence (NGS) and selected miR-342-5p, miR-574-5p and miR-222-3p to validate in ampliative samples by reverse transcription-quantitative PCR (RT-qPCR). Circulating exosomal miR-342-5p, miR-574-5p and miR-222-3p not only significantly elevated in LA patients (n = 56) compared with HCs (n = 40), but also significantly decreased after tumor resection when analyzed 51 paired pre- and post-operation samples. Furthermore, miR-342-5p and miR-574-5p, but not miR-222-3p, had a significantly elevated expression level in carcinoma tissue compared with adjacent non-cancerous tissue (n = 8). The receiver operating characteristic (ROC) curve showed the area under the curve (AUC) of combined miR-342-5p and miR-574-5p was 0.813 (95% CI: 0.7249 to 0.9009) with sensitivity and specificity of 80.0% and 73.2% respectively. In summary, circulating exosomal miR-342-5p and miR-574-5p have potential to serve as novel diagnostic biomarkers for early-stage LA.

In the version of this article initially published, the affiliation for Jian Zhang and Shuangli Mi was incomplete. In addition to the Key Laboratory of Genomics and Precision Medicine, they are also affiliated with the University of Chinese Academy of Sciences, Beijing, China. In Supplementary Fig. 1h,l, the molecular mass marker accompanying Snap25 was labeled 58 kDa; the correct value is 25 kDa. In Supplementary Fig. 9b,c, the top panel was labeled Syt1, with molecular mass markers ranging from 46 to 100 kDa; it is actually Snap25, with molecular mass markers ranging from 17 to 46 kDa. The errors have been corrected in the HTML and PDF versions of the article.

CRISPR–Cas9 has been demonstrated to delete genes in postmitotic neurons. Compared to the establishment of proliferative cell lines or animal strains, it is more challenging to acquire a highly homogeneous consequence of gene editing in a stable neural network. Here we show that dCas9-based CRISPR interference (CRISPRi) can efficiently silence genes in neurons. Using a pseudotarget fishing strategy, we demonstrate that CRISPRi shows superior targeting specificity without detectable off-target activity. Furthermore, CRISPRi can achieve multiplex inactivation of genes fundamental for neurotransmitter release with high efficiency. By developing conditional CRISPRi tools targeting synaptotagmin I (Syt1), we modified the excitatory to inhibitory balance in the dentate gyrus of the mouse hippocampus and found that the dentate gyrus has distinct regulatory roles in learning and affective processes in mice. We therefore recommend CRISPRi as a useful tool for more rapid investigation of gene function in the mammalian brain.