Microbial communities such as those residing in the human gut are highly diverse and complex, and many with important implications for health and diseases. The effects and functions of these microbial communities are determined not only by their species compositions and diversities but also by the dynamic intra- and inter-cellular states at the transcriptional level. Powerful and scalable technologies capable of acquiring single-microbe-resolution RNA sequencing information in order to achieve a comprehensive understanding of complex microbial communities together with their hosts are therefore utterly needed. Here we report the development and utilization of a droplet-based smRNA-seq (single-microbe RNA sequencing) method capable of identifying large species varieties in human samples, which we name smRandom-seq2. Together with a triple-module computational pipeline designed for the bacteria and bacteriophage sequencing data by smRandom-seq2 in four human gut samples, we established a single-cell level bacterial transcriptional landscape of human gut microbiome, which included 29,742 single microbes and 329 unique species. Distinct adaptive response states among species in Prevotella and Roseburia genera and intrinsic adaptive strategy heterogeneity in Phascolarctobacterium succinatutens were uncovered. Additionally, we identified hundreds of novel host-phage transcriptional activity associations in the human gut microbiome. Our results indicated that smRandom-seq2 is a high-throughput and high-resolution smRNA-seq technique that is highly adaptable to complex microbial communities in real-world situations and promises new perspectives in the understanding of human microbiomes.
Humans ; Gastrointestinal Microbiome/genetics* ; Bacteriophages/physiology* ; High-Throughput Nucleotide Sequencing ; Sequence Analysis, RNA/methods* ; Bacteria/virology*

Ovarian cancer is the most lethal malignancy affecting the female reproductive system. Pharmacological inhibitors targeting CDK4/6 have demonstrated promising efficacy across various cancer types. However, their clinical benefits in ovarian cancer patients fall short of expectations, with only a subset of patients experiencing these advantageous effects. This study aims to provide further clinical and biological evidence for antineoplastic effects of a CDK4/6 inhibitor (TQB4616) in ovarian cancer and explore underlying mechanisms involved. Patient-derived ovarian cancer organoid models were established to evaluate the effectiveness of TQB3616. Potential key genes related to TQB3616 sensitivity were identified through RNA-seq analysis, and TRIM4 was selected as a candidate gene for further investigation. Subsequently, co-immunoprecipitation and GST pull-down assays confirmed that TRIM4 binds to hnRNPDL and promotes its ubiquitination through RING and B-box domains. RIP assay demonstrated that hnRNPDL binded to CDKN2C isoform 2 and suppressed its expression by alternative splicing. Finally, in vivo studies confirmed that the addition of siTRIM4 significantly improved the effectiveness of TQB3616. Overall, our findings suggest that TRIM4 modulates ubiquitin-mediated degradation of hnRNPDL and weakens sensitivity to CDK4/6 inhibitors in ovarian cancer treatment. TRIM4 may serve as a valuable biomarker for predicting sensitivity to CDK4/6 inhibitors in ovarian cancer.
Humans ; Female ; Ovarian Neoplasms/pathology* ; Animals ; Tripartite Motif Proteins/genetics* ; Mice ; Cyclin-Dependent Kinase 4/antagonists & inhibitors* ; Cell Line, Tumor ; Cyclin-Dependent Kinase 6/antagonists & inhibitors* ; Protein Kinase Inhibitors/pharmacology* ; Ubiquitin/metabolism* ; Xenograft Model Antitumor Assays ; Ubiquitination ; Antineoplastic Agents/pharmacology*

Objective: To evaluate the clinical value of combining low-dose energy spectrum CT with virtual un-enhanced(VUE) scanning and deep-learning image reconstruction(DLIR) in aortic CT angiography(CTA). Methods : In a prospective study, 94 patients scheduled for aortic CTA were randomized into two groups: a low-dose energy spectrum group and a standard 100 kVp enhancement group, with 47 patients in each. All patients initially underwent a true un-enhanced(TUE) scan at 120 kVp using adaptive statistical iterative reconstruction-V(ASIR-V) at 40% for image reconstruction. The low-dose group received enhanced scans using gemstone spectral imaging(GSI) mode with DLIR-H, producing 60 keV virtual monoenergetic images(VMIs) and VUE images. The standard group was scanned at 100 kVp, with images reconstructed using ASIR-V at 50%. Parameters were measured including CT values, noise(SD), signal-to-noise ratio(SNR), and contrast-to-noise ratio(CNR) for key vascular and muscular areas, alongside the effective radiation dose(ED). Two radiologists evaluated the image quality using a 5-point scale. Results : The low-dose group exhibited significantly higher SNR and CNR values in the ascending aorta, descending aorta, abdominal aorta, and common iliac artery compared to the standard group(P<0.05), with comparable subjective quality scores. The VUE images also demonstrated superior SNR values in the abdominal aorta, common iliac artery, and psoas major muscle, and CNR value in the ascending aorta compared to TUE images, with similar subjective quality. Importantly, the ED in the low-dose group was about 40% lower than that of the standard group. Conclusion Low-dose energy spectrum CT with DLIR in aortic CTA can significantly enhance SNR and CNR, while approximating the image quality of traditional TUE scans, thereby substantially reducing radiation exposure.

Objective To observe the value of feature pyramid network(FPN)for automatic segmentation and semantic feature classification of spontaneous intracerebral hemorrhage(sICH)hematoma showed on non-contrast CT.Methods Non-contrast CT images of 408 sICH patients in hospital A(training set)and 103 sICH patients in hospital B(validation set)were retrospectively analyzed.Deep learning(DL)segmentation model was constructed based on FPN to segment the hematoma region,and its efficacy was assessed using intersection over union(IoU),Dice similarity coefficient(DSC)and accuracy.Then DL classification model was established to identify the semantic features of sICH hematoma.Receiver operating characteristic curves were drawn,and the area under the curves(AUC)were calculated to evaluate the efficacy of DL classification model for recognizing semantic features of sICH hematoma.Results The IoU,DSC and accuracy of DL segmentation model for 95％sICH hematoma in training set was 0.84±0.07,0.91±0.04 and(88.78±8.04)％,respectively,which was 0.83±0.07,0.91±0.05 and(88.59±7.76)％in validation set,respectively.The AUC of DL classification model for recognizing irregular shape,uneven density,satellite sign,mixed sign and vortex sign of sICH hematoma were 0.946-0.993 and 0.714-0.833 in training set and validation set,respectively.Conclusions FPN could accurately,effectively and automatically segment hematoma of sICH,hence having high efficacy for identifying semantic features of sICH hematoma.

Objective:To explore the quality improvement in the organization structure and management model of the integrated community child health services.Methods:This was a qualitative study, including two parts: cause analysis and service improvement suggestions. In the analysis part the data mining was conducted to identify valuable patterns and relationships in the comprehensive child health services. Semi-structured interviews were conducted with 12 relevant department heads and health workers of the comprehensive child health service team at Gumei Community Health Service Center in December 2023, and the causes of the key problems were explored. In the service improvement part, focus group discussions were held to propose suggestions, then improvement measures were formulated to address the identified problems.Results:Through data mining and semi-structured interviews, the key problems were identified: information isolation among multiple departments and lack of coordination mechanism in the comprehensive child health service team. A team organizational structure based on the "three definite" principle was established. The organizational structure should include the pediatric family doctor team, general practitioner management team and departments of pediatrics, maternal and child health care, immunization and child rehabilitation; the management model should include a cross-department resource and information sharing mechanism, the pediatric family doctor model, optimization and integration of physical space, and enhancement of publicity activities for the comprehensive child health services.Conclusion:Based on the analysis in Gumei health service center, this study identified key problems in community integrated child health services, and proposes the quality improvement measure in the organizational structure and management model of the service team.

Objective:To observe the clinical and pathological features of choroidal malignant melanoma (CM).Methods:A retrospective case study. From 2011 to 2021, paraffin specimens from 15 eyes of 15 CM patients diagnosed by pathological examination in the Department of Pathology, the Second Affiliated Hospital of Soochow University were included in the study. The age, gender, clinical manifestations, treatment plan and pathological examination results of patients were collected retrospectively through the hospital information system. The clinical characteristics, immunohistochemical staining and molecular pathological characteristics were analyzed.Results:Among the 15 cases, 8 males and 7 females. The average age was 61. All patients were monocular paroxysm. There were 8 cases of decreased vision, blurred vision and dark shadow in front of the eyes; 1 case had red eye, lacrimation and purulent secretion; 2 cases had visual loss and no light perception; 4 cases had retinal detachment. The average diameter of the tumors was 1.4 cm. The general appearance of the tumor was hemispherical, "mushroom-shaped" or flat diffuse. Most of the tumor cells were arranged in solid, flaky and cross clusters, and some of them were arranged in false "chrysanthemum form" around the blood vessels with necrosis. In 15 eyes, spindle-cell type, epithelioid type and mixed cell type were 6, 2 and 7 eyes, respectively. The cytoplasm was partly double stained or eosinophilic, partly clear, and partly rich in pigment. The cells had poor adhesion, marked atypia, rough chromatin, frequent mitotic figures, and prominent nucleoli. Immunohistochemical staining was positive for HMB45, SOX10, S100 and Melan-A in 15 patients, but negative for epithelial markers AE1/3, lymphatic markers LCA, neuroendocrine markers CgA and Syn. Genetic testing results showed that none of the patients found C-KIT, BRAF, NRAS gene mutations. Fifteen patients were followed up for 8-96 months, of which 12 survived and 3 died after recurrence and/or metastasis.Conclusion:CM has no specific clinical clinical manifestations, and he diagnosis depends on histological morphology and immunohistochemical staining.

OBJECTIVE To explore the mechanism of Cinnamomi Cortex in the treatment of depression based on the network pharmacology method, and to verify the experimental results according to the results. METHODS The potential active components of Cinnamomi Cortex were screened by using the Chinese Medicine System Pharmacology Database Analysis Platform(TCMSP) and literatures related to the active components of Cinnamomi Cortex. The target of action of the active ingredients obtained by screening was predicted; the disease targets of depression were obtained from the DisGeNet database; the STRING database protein-protein interaction was used to construct PPI network; Gene Ontology(GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis for key targets through DAVID database. Based on the results of network pharmacology, the solid self-microemulsion of Cinnamomi Cortex oil was used as a reagent to establish a chronic unpredictable mild stress(CUMS) depression mice model, and the experimental verification was carried out by measuring the expression levels of neurotransmitters and inflammatory factors in mice. RESULTS A total of 22 active ingredients and 186 potential targets were obtained through screening. A total of 275 GO items were obtained by GO enrichment analysis, including 222 for biological processes, 18 for cellular composition, and 35 for molecular functions. A total of 96 signaling pathways were obtained from KEGG enrichment. The results of network pharmacology indicated that the antidepressant mechanism of Cinnamomi Cortex was related to neurotransmitter components and inflammatory response. The results of animal experiments indicated that Cinnamomi Cortex oil solid self-microemulsion could improve hippocampal damage caused by CUMS, and make neurons in the hippocampus neatly arranged and cell structure intact. At the same time, it could effectively increase the expression levels of 5-hydroxytryptamine(5-HT), NE and DA in the brain of CUMS mice(P<0.05), and reduce the expression levels of serum IL-6, IL-1β and TNF-α(P<0.05). The results of animal experiments were consistent with the results of network pharmacology. CONCLUSION The antidepressant activity of Cinnamomi Cortex has the characteristics of multi-component, multi-target and multi-pathway. Regulating the expression levels of neurotransmitters and inflammatory factors is an important way of its action, which provides a basis for the in-depth study of the antidepressant mechanism of Cinnamomi Cortex.

LIN28 is an RNA binding protein with important roles in early embryo development, stem cell differentiation/reprogramming, tumorigenesis and metabolism. Previous studies have focused mainly on its role in the cytosol where it interacts with Let-7 microRNA precursors or mRNAs, and few have addressed LIN28's role within the nucleus. Here, we show that LIN28 displays dynamic temporal and spatial expression during murine embryo development. Maternal LIN28 expression drops upon exit from the 2-cell stage, and zygotic LIN28 protein is induced at the forming nucleolus during 4-cell to blastocyst stage development, to become dominantly expressed in the cytosol after implantation. In cultured pluripotent stem cells (PSCs), loss of LIN28 led to nucleolar stress and activation of a 2-cell/4-cell-like transcriptional program characterized by the expression of endogenous retrovirus genes. Mechanistically, LIN28 binds to small nucleolar RNAs and rRNA to maintain nucleolar integrity, and its loss leads to nucleolar phase separation defects, ribosomal stress and activation of P53 which in turn binds to and activates 2C transcription factor Dux. LIN28 also resides in a complex containing the nucleolar factor Nucleolin (NCL) and the transcriptional repressor TRIM28, and LIN28 loss leads to reduced occupancy of the NCL/TRIM28 complex on the Dux and rDNA loci, and thus de-repressed Dux and reduced rRNA expression. Lin28 knockout cells with nucleolar stress are more likely to assume a slowly cycling, translationally inert and anabolically inactive state, which is a part of previously unappreciated 2C-like transcriptional program. These findings elucidate novel roles for nucleolar LIN28 in PSCs, and a new mechanism linking 2C program and nucleolar functions in PSCs and early embryo development.
Animals ; Cell Differentiation ; Embryo, Mammalian/metabolism* ; Embryonic Development ; Mice ; Pluripotent Stem Cells/metabolism* ; RNA, Messenger/genetics* ; RNA, Ribosomal ; RNA-Binding Proteins/metabolism* ; Transcription Factors/metabolism* ; Zygote/metabolism*

Apolipoprotein A-I (ApoA-I), the main protein component of high-density lipoprotein (HDL), plays a pivotal role in reverse cholesterol transport (RCT). Previous studies indicated a reduction of serum ApoA-I levels in various types of cancer, suggesting ApoA-I as a potential cancer biomarker. Herein, ectopically overexpressed ApoA-I in MDA-MB-231 breast cancer cells was observed to have antitumor effects, inhibiting cell proliferation and migration. Subsequent studies on the mechanism of expression regulation revealed that estradiol (E2)/estrogen receptor α (ERα) signaling activates

Tendon injuries often need surgical treatment, which enables to repair the structure and stability of the tendons to a certain extent, whereas it is difficult to restore to their normal strength. The primary reason is that the natural healing ability of tendons is limited and the functions of the repaired tendons cannot be restored completely. As further researches on tendon healing are conducted, biological technology provides a novel orientation for tendon repair. One of the research hotspots of tendon repair currently is to facilitate tendon healing using biological auxiliaries, including tendon stem /progenitor cells(TSPCs) and growth factors. The authors review the research progress in mechanism of TSPCs and growth factors accelerating tendon healing in order to provide a reference for the biological treatment of tendon injuries.