Host-derived small RNAs are emerging as critical regulators in the dynamic interactions between host tissues and the microbiome, with implications for microbial pathogenesis and host defense. Among these, transfer RNA-derived small RNAs (tsRNAs) have garnered attention for their roles in modulating microbial behavior. However, the bacterial factors mediating tsRNA interaction and functionality remain poorly understood. In this study, using RNA affinity pull-down assay in combination with mass spectrometry, we identified a putative membrane-bound protein, annotated as P-type ATPase transporter (PtaT) in Fusobacterium nucleatum (Fn), which binds Fn-targeting tsRNAs in a sequence-specific manner. Through targeted mutagenesis and phenotypic characterization, we showed that in both the Fn type strain and a clinical tumor isolate, deletion of ptaT led to reduced tsRNA intake and enhanced resistance to tsRNA-induced growth inhibition. Global RNA sequencing and label-free Raman spectroscopy revealed the phenotypic differences between Fn wild type and PtaT-deficient mutant, highlighting the functional significance of PtaT in purine and pyrimidine metabolism. Furthermore, AlphaFold 3 prediction provides evidence supporting the specific binding between PtaT and Fn-targeting tsRNA. By uncovering the first RNA-binding protein in Fn implicated in growth modulation through interactions with host-derived small RNAs (sRNAs), our study offers new insights into sRNA-mediated host-pathogen interplay within the context of microbiome-host interactions.
Fusobacterium nucleatum/growth & development* ; RNA-Binding Proteins/genetics* ; Bacterial Proteins/genetics* ; RNA, Bacterial/metabolism* ; Humans ; RNA, Transfer/metabolism*

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*

Objective:To investigate the risk factors for dural tears in patients with thoracolumbar burst fracture (TLBF) and their predictive efficacy.Methods:A retrospective cohort study was conducted to analyze the clinical data of 135 TLBF patients admitted to Tianjin Fifth Central Hospital from March 2020 to February 2025, including 83 males and 52 females, aged 16-65 years [41(31, 50)years]. Among them, 31 patients had thoracic fracture and 104 lumbar fracture. The patients were divided into dural tear group ( n=82) and dural intact group ( n=53) based on the presence of dural tear. The following data of the two groups were collected including gender, age, underlying diseases, body mass index (BMI), bone density T-score, cause of injury, AO fracture classification, distribution of injured vertebrae, vertical laminar fracture (VLF) classification, radiological parameters (pedicle spacing, vertebral canal area, sagittal diameter of the vertebral canal, vertebral compression rate), and American Spinal Injury Association (ASIA) impairment scale. Univariate analysis and multivariate Logistic regression analysis were conducted to assess and identify the independent risk factors for dural tears in TLBF patients. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to evaluate the predictive efficacy of each independent risk factor. Results:Univariate analysis showed statistically significant differences in VLF classification, pedicle spacing, vertebral canal area, sagittal diameter of the vertebral canal, vertebral compression rate, and ASIA impairment scale between the two groups ( P<0.05). Multivariate Logistic regression analysis revealed that VLF classification ( OR=4.16, 95% CI 1.03, 11.46, P<0.05), pedicle spacing ( OR=1.08, 95% CI 0.81, 1.16, P<0.05), and ASIA impairment scale ( OR=3.06, 95% CI 2.00, 8.48, P<0.01) were significantly associated with dural tears in TLBF patients. ROC curve analysis showed that VLF classification (AUC=0.86, 95% CI 0.62, 0.95), pedicle spacing (AUC=0.86, 95% CI 0.77, 1.00), and ASIA impairment scale (AUC=0.76, 95% CI 0.74, 0.97) had relatively high predictive efficacy for dural tear. The combination of VLF classification and pedicle spacing had the highest predictive efficacy (AUC=0.89, 95% CI 0.78, 1.01). Conclusions:VLF classification, pedicle spacing, and ASIA impairment scale are independent risk factors for dural tears in TLBF patients. VLF classification and pedicle spacing have relatively high independent predictive efficacy and their combination can further improve the predictive efficacy.

Objectives:To investigate the clinical value of cardiac magnetic resonance imaging(CMR)feature-tracking strain analysis in risk stratification of diabetic heart failure with preserved ejection fraction(HFpEF).Methods:In this retrospective study,a total of 215 patients with diabetic HFpEF who underwent CMR at Chinese Academy of Medical Sciences Fuwai Hospital from January 2012 to December 2018 were included.Myocardial strain parameters were calculated using CMR feature-tracking technology.Patients were followed up by medical records or telephone calls.Composite endpoint event,all-cause death or heart failure hospitalization during follow-up were recorded.Patients were divided into event group and event-free group.Univariable and multivariable Cox proportional hazard regression analyses were performed to determine the risk factors for the outcomes in diabetic HFpEF.The effects of hypertension and obesity on the prognosis of diabetic HFpEF patients and whether they affect the prognostic value of CMR feature-tracking strain analysis were also analyzed.Results:During a follow-up of(7.1±1.8)years,93(43.3%)patients had endpoint events(event group),including 28 all-cause deaths and 65 heart failure hospitalization.Compared with the event-free group(n=122),patients in the event group had significantly lower left ventricular ejection fraction,higher prevalence and extent of late gadolinium enhancement,and significantly reduced global longitudinal strain(GLS),global circumferential strain,global radial strain,and global systolic longitudinal strain rate(all P<0.05).The absolute GLS value was significantly lower in event group than in event-free group,regardless of the presence of hypertension and obesity.Multivariate Cox regression analysis showed that estimated glomerular filtration rate(HR=0.983,95%CI:0.972-0.993,P=0.001),left atrial volume index(HR=1.015,95%CI:1.005-1.026,P=0.004),and GLS(HR=1.142,95%CI:1.060-1.231,P<0.001)were independent risk factors for adverse cardiovascular events in diabetic HFpEF patients.However,adjusted N-terminal pro-brain natriuretic peptide was not an independent prognostic factor.The cut-offvalue of GLS to predict outcome was-14.09%from ROC curve analysis.The Kaplan-Meier curve showed that in patients with and without hypertension and obesity,patients with the GLS>-14.09%had lower event-free survival compared to patients with GLS≤-14.09%(all P<0.05),and the ability of GLS to predict adverse outcomes was not affected by hypertension and obesity.Conclusions:GLS obtained by CMR feature-tracking strain analysis is an independent predictor of adverse outcomes in diabetic HFpEF,and its ability to predict adverse outcomes is independent of hypertension and obesity.

Objective To investigate the relationship between vertical laminar fracture(VLF)in thoracolumbar burst fractures and both neurological injury and dural tear.Methods A retrospective analysis was conducted on the clinical data and multi spiral computed tomography(MSCT)coronal images of 255 patients of thoracolumbar burst fractures.The patients were divided into three groups based on the presence of VLF[Ⅰ group(complete VLF group),Ⅱ group(partial VLF group),and Ⅲ group(normal lamina group)].Statistical analysis was performed using analysis of variance and Fisher's exact test to compare radiological parameters,inci-dence of dural tear,and neurological injury among the groups.Results The Ⅰ group showed significant differences in spinal canal sagittal diameter,pedicle distance,and spinal canal area compared with the other two groups(P<0.05).However,there was no sig-nificant difference in vertebral body compression rate between the Ⅰ group and the Ⅱ group(P>0.05).The Ⅰ group had the high-est incidence of severe neurological injury[American Spinal Injury Association(ASIA)impairment scale grades A and B]and dural tear(P<0.05).Conclusion The severity of VLF is closely related to dural tear and neurological injury.MSCT coronal images can clearly display the extent of VLF,providing an important basis for clinical evaluation and treatment plan.

Objectives:To investigate the clinical value of cardiac magnetic resonance imaging(CMR)feature-tracking strain analysis in risk stratification of diabetic heart failure with preserved ejection fraction(HFpEF).Methods:In this retrospective study,a total of 215 patients with diabetic HFpEF who underwent CMR at Chinese Academy of Medical Sciences Fuwai Hospital from January 2012 to December 2018 were included.Myocardial strain parameters were calculated using CMR feature-tracking technology.Patients were followed up by medical records or telephone calls.Composite endpoint event,all-cause death or heart failure hospitalization during follow-up were recorded.Patients were divided into event group and event-free group.Univariable and multivariable Cox proportional hazard regression analyses were performed to determine the risk factors for the outcomes in diabetic HFpEF.The effects of hypertension and obesity on the prognosis of diabetic HFpEF patients and whether they affect the prognostic value of CMR feature-tracking strain analysis were also analyzed.Results:During a follow-up of(7.1±1.8)years,93(43.3%)patients had endpoint events(event group),including 28 all-cause deaths and 65 heart failure hospitalization.Compared with the event-free group(n=122),patients in the event group had significantly lower left ventricular ejection fraction,higher prevalence and extent of late gadolinium enhancement,and significantly reduced global longitudinal strain(GLS),global circumferential strain,global radial strain,and global systolic longitudinal strain rate(all P<0.05).The absolute GLS value was significantly lower in event group than in event-free group,regardless of the presence of hypertension and obesity.Multivariate Cox regression analysis showed that estimated glomerular filtration rate(HR=0.983,95%CI:0.972-0.993,P=0.001),left atrial volume index(HR=1.015,95%CI:1.005-1.026,P=0.004),and GLS(HR=1.142,95%CI:1.060-1.231,P<0.001)were independent risk factors for adverse cardiovascular events in diabetic HFpEF patients.However,adjusted N-terminal pro-brain natriuretic peptide was not an independent prognostic factor.The cut-offvalue of GLS to predict outcome was-14.09%from ROC curve analysis.The Kaplan-Meier curve showed that in patients with and without hypertension and obesity,patients with the GLS>-14.09%had lower event-free survival compared to patients with GLS≤-14.09%(all P<0.05),and the ability of GLS to predict adverse outcomes was not affected by hypertension and obesity.Conclusions:GLS obtained by CMR feature-tracking strain analysis is an independent predictor of adverse outcomes in diabetic HFpEF,and its ability to predict adverse outcomes is independent of hypertension and obesity.

Objective To investigate the relationship between vertical laminar fracture(VLF)in thoracolumbar burst fractures and both neurological injury and dural tear.Methods A retrospective analysis was conducted on the clinical data and multi spiral computed tomography(MSCT)coronal images of 255 patients of thoracolumbar burst fractures.The patients were divided into three groups based on the presence of VLF[Ⅰ group(complete VLF group),Ⅱ group(partial VLF group),and Ⅲ group(normal lamina group)].Statistical analysis was performed using analysis of variance and Fisher's exact test to compare radiological parameters,inci-dence of dural tear,and neurological injury among the groups.Results The Ⅰ group showed significant differences in spinal canal sagittal diameter,pedicle distance,and spinal canal area compared with the other two groups(P<0.05).However,there was no sig-nificant difference in vertebral body compression rate between the Ⅰ group and the Ⅱ group(P>0.05).The Ⅰ group had the high-est incidence of severe neurological injury[American Spinal Injury Association(ASIA)impairment scale grades A and B]and dural tear(P<0.05).Conclusion The severity of VLF is closely related to dural tear and neurological injury.MSCT coronal images can clearly display the extent of VLF,providing an important basis for clinical evaluation and treatment plan.

Objective:To investigate the risk factors for dural tears in patients with thoracolumbar burst fracture (TLBF) and their predictive efficacy.Methods:A retrospective cohort study was conducted to analyze the clinical data of 135 TLBF patients admitted to Tianjin Fifth Central Hospital from March 2020 to February 2025, including 83 males and 52 females, aged 16-65 years [41(31, 50)years]. Among them, 31 patients had thoracic fracture and 104 lumbar fracture. The patients were divided into dural tear group ( n=82) and dural intact group ( n=53) based on the presence of dural tear. The following data of the two groups were collected including gender, age, underlying diseases, body mass index (BMI), bone density T-score, cause of injury, AO fracture classification, distribution of injured vertebrae, vertical laminar fracture (VLF) classification, radiological parameters (pedicle spacing, vertebral canal area, sagittal diameter of the vertebral canal, vertebral compression rate), and American Spinal Injury Association (ASIA) impairment scale. Univariate analysis and multivariate Logistic regression analysis were conducted to assess and identify the independent risk factors for dural tears in TLBF patients. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to evaluate the predictive efficacy of each independent risk factor. Results:Univariate analysis showed statistically significant differences in VLF classification, pedicle spacing, vertebral canal area, sagittal diameter of the vertebral canal, vertebral compression rate, and ASIA impairment scale between the two groups ( P<0.05). Multivariate Logistic regression analysis revealed that VLF classification ( OR=4.16, 95% CI 1.03, 11.46, P<0.05), pedicle spacing ( OR=1.08, 95% CI 0.81, 1.16, P<0.05), and ASIA impairment scale ( OR=3.06, 95% CI 2.00, 8.48, P<0.01) were significantly associated with dural tears in TLBF patients. ROC curve analysis showed that VLF classification (AUC=0.86, 95% CI 0.62, 0.95), pedicle spacing (AUC=0.86, 95% CI 0.77, 1.00), and ASIA impairment scale (AUC=0.76, 95% CI 0.74, 0.97) had relatively high predictive efficacy for dural tear. The combination of VLF classification and pedicle spacing had the highest predictive efficacy (AUC=0.89, 95% CI 0.78, 1.01). Conclusions:VLF classification, pedicle spacing, and ASIA impairment scale are independent risk factors for dural tears in TLBF patients. VLF classification and pedicle spacing have relatively high independent predictive efficacy and their combination can further improve the predictive efficacy.

Inflammatory bowel disease is a chronic non-specific inflammatory disease of the gastrointestinal tract with unclear etiology, including ulcerative colitis and the Crohn's disease. The pathogenesis of inflammatory bowel disease is complex, involving genetic and environmental factors, and diet is one of the important environmental factors. Patients with inflammatory bowel disease often present with malnutrition and micronutrient deficiencies. This paper reviewed the research achievements of clinical nutrition in inflammatory bowel disease in recent years, analyzed the different dietary therapeutic strategies for inflammatory bowel disease, and provided reference for further research on the prevention and treatment of inflammatory bowel disease.