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*

Ferroptosis has been shown to mediate the development of fibrosis. Polyphyllin VII (PP7), a bioactive component of Paris polyphylla, exhibits potent anti-inflammatory activity and can significantly alleviate liver fibrosis. In this study, treatment with PP7 significantly inhibited the proliferation and activation of hepatic stellate cells (HSCs), which could be suppressed by a ferroptosis inhibitor. In addition, it promoted HSC ferroptosis by suppressing glutathione (GSH) peroxidase 4 (GPX4) and enhanced the expression of CX3C chemokine ligand 1 (CX3CL1). Depletion of CX3CL1 attenuated the effects of PP7 on the activation and ferroptosis of HSCs and the expression of GPX4. Notably, CX3CL1 directly interacted with GPX4, triggering HSC ferroptosis. The transcription factor hypermethylated in cancer 1 (Hic1), which binds to the Cx3cl1 promoter, increased the expression of CX3CL1. Its absence resulted in downregulation of CX3CL1, suppressing the GPX4-dependent ferroptosis of PP7-treated HSCs and promoting their activation. HIC1 was found to directly interact with PP7 at the GLY164 site. Co-culture experiments showed that PP7-induced HSC ferroptosis attenuated macrophage recruitment by regulating inflammation-related genes. HSC-specific inhibition of HIC1 counteracted PP7-induced collagen depletion and HSC ferroptosis in vivo. These findings suggest that PP7 induces HSC ferroptosis through the HIC1/CX3CL1/GPX4 axis.

Proteolysis-targeting chimeras (PROTACs) represent a promising class of drugs that can target disease-causing proteins more effectively than traditional small molecule inhibitors can, potentially revolutionizing drug discovery and treatment strategies. However, the links between in vitro and in vivo data are poorly understood, hindering a comprehensive understanding of the absorption, distribution, metabolism, and excretion (ADME) of PROTACs. In this work, ¹⁴C-labeled vepdegestrant (ARV-471), which is currently in phase III clinical trials for breast cancer, was synthesized as a model PROTAC to characterize its preclinical ADME properties and simulate its clinical pharmacokinetics (PK) by establishing a physiologically based pharmacokinetics (PBPK) model. For in vitro-in vivo extrapolation (IVIVE), hepatocyte clearance correlated more closely with in vivo rat PK data than liver microsomal clearance did. PBPK models, which were initially developed and validated in rats, accurately simulate ARV-471's PK across fed and fasted states, with parameters within 1.75-fold of the observed values. Human models, informed by in vitro ADME data, closely mirrored postoral dose plasma profiles at 30 mg. Furthermore, no human-specific metabolites were identified in vitro and the metabolic profile of rats could overlap that of humans. This work presents a roadmap for developing future PROTAC medications by elucidating the correlation between in vitro and in vivo characteristics.

The diagnosis of hematological disorders is currently established from the combined results of different tests, including those assessing morphology (M), immunophenotype (I), cytogenetics (C), and molecular biology (M) (collectively known as the MICM classification). In this workflow, most of the results are interpreted manually (i.e., by a human, without automation), which is expertise-dependent, labor-intensive, time-consuming, and with inherent interobserver variability. Also, with advances in instruments and technologies, the data is gaining higher dimensionality and throughput, making additional challenges for manual analysis. Recently, artificial intelligence (AI) has emerged as a promising tool in clinical hematology to ensure timely diagnosis, precise risk stratification, and treatment success. In this review, we summarize the current advances, limitations, and challenges of AI models and raise potential strategies for improving their performance in each sector of the MICM pipeline. Finally, we share perspectives, highlight future directions, and call for extensive interdisciplinary cooperation to perfect AI with wise human-level strategies and promote its integration into the clinical workflow.

Objective:To investigate the prevalence, comorbidity patterns, and associated factors of cardiometabolic multimorbidity (CMM) in China.Methods:From 2012 to 2015, a total of 34 994 residents aged ≥35 years were enrolled using a stratified multistage random sampling method across 31 provinces, autonomous regions, and municipalities in China. Data were collected through questionnaires, covering demographic characteristics, behavioral and lifestyle factors, and self-reported history of cardiometabolic diseases. CMM was defined as the coexistence of two or more cardiometabolic diseases in the same individual. Association rule analysis using the Apriori algorithm from the arules package was employed to identify strong CMM patterns. Multivariable logistic regression was employed to explore factors associated with CMM.Results:The mean age of the participants was 55.6 years. Among them, 15 926 were male (45.51%). The prevalence of cardiometabolic multimorbidity (CMM) was 11.25% (3 937/34 994). A total of 35 distinct CMM combinations (each with a frequency ≥10) were identified. The most prevalent dyad, triad, and tetrad comorbidity patterns were hypertension+hyperlipidemia (1 036 cases), hypertension+hyperlipidemia+diabetes (352 cases), and hypertension+stroke+hyperlipidemia+diabetes (54 cases), respectively. Nine strong CMM patterns were identified using the Apriori association rule algorithm. Multivariable logistic regression analysis showed that older age (≥70 years: OR=17.39,95% CI 13.92-21.71, P<0.01), junior high school education ( OR=1.31, 95% CI 1.17-1.48, P<0.01), senior high school or above education ( OR=1.45, 95% CI 1.27-1.65, P<0.01), retirement ( OR=3.09, 95% CI 2.76-3.46, P<0.01), unemployment or being laid-off ( OR=1.16, 95% CI 1.06-1.28, P<0.01), a family history of cardiometabolic disease ( OR=4.37, 95% CI 4.04-4.72, P<0.01), regular smoking ( OR=1.38, 95% CI 1.24-1.53, P<0.05), and occasional smoking ( OR=1.21, 95% CI 1.00-1.49, P<0.01) were significantly associated with an increased risk of CMM. Conclusion:The prevalence of cardiometabolic multimorbidity in China is relatively high, with the most common comorbidity patterns involving combinations of hypertension and hyperlipidemia, often accompanied by diabetes and stroke. Older age, retirement status, smoking, and a family history of cardiovascular disease are associated with an increased risk of both single and multiple cardiometabolic conditions. Greater attention should be paid to individuals with a single cardiometabolic disorder due to their elevated risk of developing multimorbidity.

Ferroptosis has been shown to mediate the development of fibrosis.Polyphyllin Ⅶ(PP7),a bioactive component of Paris polyphylla,exhibits potent anti-inflammatory activity and can significantly alleviate liver fibrosis.In this study,treatment with PP7 significantly inhibited the proliferation and activation of hepatic stellate cells(HSCs),which could be suppressed by a ferroptosis inhibitor.In addition,it promoted HSC ferroptosis by suppressing glutathione(GSH)peroxidase 4(GPX4)and enhanced the expression of CX3C chemokine ligand 1(CX3CL1).Depletion of CX3CL1 attenuated the effects of PP7 on the activation and ferroptosis of HSCs and the expression of GPX4.Notably,CX3CL1 directly interacted with GPX4,triggering HSC ferroptosis.The transcription factor hypermethylated in cancer 1(Hic1),which binds to the Cx3cl1 promoter,increased the expression of CX3CL1.Its absence resulted in downregulation of CX3CL1,sup-pressing the GPX4-dependent ferroptosis of PP7-treated HSCs and promoting their activation.HIC1 was found to directly interact with PP7 at the GLY164 site.Co-culture experiments showed that PP7-induced HSC ferroptosis attenuated macrophage recruitment by regulating inflammation-related genes.HSC-specific inhibition of HIC1 counteracted PP7-induced collagen depletion and HSC ferroptosis in vivo.These findings suggest that PP7 induces HSC ferroptosis through the HIC1/CX3CL1/GPX4 axis.

Proteolysis-targeting chimeras(PROTACs)represent a promising class of drugs that can target disease-causing proteins more effectively than traditional small molecule inhibitors can,potentially revolu-tionizing drug discovery and treatment strategies.However,the links between in vitro and in vivo data are poorly understood,hindering a comprehensive understanding of the absorption,distribution,metabolism,and excretion(ADME)of PROTACs.In this work,14C-labeled vepdegestrant(ARV-471),which is currently in phase Ⅲ clinical trials for breast cancer,was synthesized as a model PROTAC to characterize its preclinical ADME properties and simulate its clinical pharmacokinetics(PK)by estab-lishing a physiologically based pharmacokinetics(PBPK)model.For in vitro-in vivo extrapolation(IVIVE),hepatocyte clearance correlated more closely with in vivo rat PK data than liver microsomal clearance did.PBPK models,which were initially developed and validated in rats,accurately simulate ARV-471's PK across fed and fasted states,with parameters within 1.75-fold of the observed values.Human models,informed by in vitro ADME data,closely mirrored postoral dose plasma profiles at 30 mg.Furthermore,no human-specific metabolites were identified in vitro and the metabolic profile of rats could overlap that of humans.This work presents a roadmap for developing future PROTAC medications by elucidating the correlation between in vitro and in vivo characteristics.

Objective To evaluate the current radiation doses in pediatric non-cardiac interventional procedures, and analyze the associated clinical factors, and to provide data references for reducing pediatric radiation exposure. Methods We conducted a retrospective analysis of the radiation doses of children who had undergone non-cardiac interventional procedures at the interventional department of a tertiary pediatric hospital in Jinan from January 2022 to October 2024. The collected data included basic demographic information, surgical date, anatomical site, disease type, and radiation dose parameters (cumulative fluoroscopy time, cumulative dose area product in cine mode, cumulative air kerma, and the number of images acquired). The Kruskal-Wallis H test was used for comparative analysis between groups (P < 0.05 was considered statistically significant). Results Among the 475 included children, 99 cases (20.8%) had infantile hemangioma (median P_ka, 0.136 Gy·cm²; median K_a,r, 0.38 mGy), 235 cases (49.5%) had venous malformation (median P_ka, 9.82 Gy·cm²; median K_a,r, 40.99 mGy), 75 cases (15.8%) had lymphatic malformation (median P_ka, 0.06 Gy·cm²; median K_a,r, 0.18 mGy), 32 cases (6.7%) had retinoblastoma (median P_ka, 6.58 Gy·cm²; median K_a,r, 52.34 mGy), 12 cases (2.5%) had arteriovenous malformation (median P_ka, 42.3 Gy·cm²; median K_a,r, 162.87 mGy), and 22 cases (4.6%) had other vascular malformations (median P_ka, 21.7 Gy·cm²; median K_a,r, 89.1 mGy). There were significant differences between children with different disease types in the cumulative fluoroscopy time, cumulative dose area product in cine mode, cumulative air kerma at the patient entrance reference point, and the number of images acquired during non-cardiac interventional procedures (all P < 0.01). Conclusion This study presented the types and proportions of pediatric non-cardiac interventional procedures, evaluated the radiation dose levels of different surgical types, and analyzed the effects of weight and anatomical site on radiation exposure, which can be useful for preliminary assessment of radiation doses in pediatric non-cardiac interventional procedures.

Objective:To understand the current status of oral frailty in elderly diabetic patients and analyze its influencing factors.Methods:A convenience sampling method was used to select elderly diabetic patients hospitalized at Henan Cancer Hospital and Henan Provincial People's Hospital from October 2023 to May 2024. The general information questionnaire, Oral Frailty Index-8 (OFI-8) , Short Form of Health Literacy Dental Scale (HeLD-14) , Nutritional Risk Screening 2002 (NRS 2002) , and the Diabetes Distress Scale (DDS) were used to collect data. Binary Logistic regression analysis was used to examine the influencing factors of oral frailty in elderly diabetic patients.Results:A total of 235 questionnaires were distributed, and 220 valid questionnaires were returned, with an effective response rate of 93.62% (220/235) . The incidence of oral frailty in elderly diabetic patients was 46.82% (103/220) . The binary Logistic regression analysis showed that glycated hemoglobin, dry mouth, remaining teeth, nutritional risk, oral health literacy, and diabetes distress were significant influencing factors for the occurrence of oral frailty in elderly diabetic patients ( P<0.05) . Conclusions:The current status of oral frailty in elderly diabetic patients is concerning. Healthcare providers should pay attention to the oral health status of elderly diabetic patients and provide targeted nursing interventions and recommendations based on the influencing factors of oral frailty, in order to reduce its occurrence.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.