Irritable bowel syndrome with diarrhea （IBS-D）， as a prototypical disorder involving the microbiota-gut-brain axis， remains poorly understood in terms of its pathogenesis， posing ongoing challenges for clinical diagnosis. Omics technologies， leveraging their high-throughput detection and systematic analysis advantages， has emerged as a critical tool for deciphering the complex mechanisms underlying traditional Chinese medicine （TCM） treatment of IBS-D. This systematic review summarizes the research progress of transcriptomics， proteomics， metabolomics， microbiomics， and multi-omics integration techniques in TCM interventions for IBS-D. In single-omics studies， transcriptomics using techniques like RNA-seq， reveals the regulatory mechanisms of TCM on IBS-related signaling pathways. Proteomics， leveraging quantitative technologies such as 2D-difference gel electrophoresis and tandem mass tag， identifies differentially expressed proteins and elucidates the action targets of TCM in treating IBS-D. Metabolomics， employing methods like UPLC-Q-TOF-MS and LC-MS/MS， discovers metabolic pathways regulated by TCM to improve metabolic disturbances in IBS-D. Microbiomics， based on 16S rRNA sequencing， confirms that TCM can reshape the gut microbiota structure and restore the intestinal microecological balance， thereby improving IBS-D. Multi-omics integration further overcomes the limitations of single-omics approaches by synthesizing information from transcriptomics， proteomics， metabolomics， and microbiomics， enabling a more comprehensive and systematic elucidation of the complex mechanisms underlying TCM treatment for IBS-D. In the future， research related to IBS-D should be advanced from three aspects： stratified clinical research based on TCM syndrome types， multi-omics integration verification mechanisms， and emerging omics to explore new mechanisms， providing more innovative ideas for the precise diagnosis and treatment of this disease.

Hepatitis B virus （HBV） exclusively infects liver parenchymal cells and forms covalently closed circular DNA （cccDNA） within their nuclei. HBV cccDNA serves as the essential template for viral gene transcription， the sole source of progeny virus production， and the key driver of viral antigen expression， and it is the molecular basis for the persistence of HBV infection. Therefore， elimination and/or functional silencing of cccDNA is the key to eradicate chronic HBV infection. This article discusses the critical scientific issues that need to be solved during elimination of the harm of HBV infection from the perspectives of the synthesis， transcription， and clearance of cccDNA， as well as the impact of nonparenchymal cells on cccDNA， in order to provide a reference for eradicating HBV infection in the future.

ObjectiveThis paper aims to investigate the effect and mechanism of Runmu Xiaoyao powder on mice with dry eye and the syndrome of liver depression-heat syndrome based on the toll-like receptor 4 （TLR4）/myeloid differentiation primary response protein 88 （MyD88）/nuclear factor-κB （NF-κB） signaling pathway. MethodsSixty-six C57BL/6J female mice were randomly divided into a normal group， a model group， a sodium hyaluronate group， and high-， medium-， and low-dose Runmu Xiaoyao powder groups， with 11 mice per group. Except for those in the normal group， mice in the other groups were subjected to mouse models with dry eye and liver depression-heat syndrome by instilling a benzalkonium chloride solution and applying chronic pain stimulation in a dry environment. After modeling， mice in the high-， medium-， and low-dose Runmu Xiaoyao powder groups were administered intragastrically with 29.7， 14.85， 7.43 g·kg^-1， respectively， twice a day for 14 consecutive days. The mice in the sodium hyaluronate group received 5 μL of sodium hyaluronate eye drops in each eye twice daily. The mice in the normal and model groups were administered intragastrically with an equal volume of deionized water. Measurements were taken of tear secretion in mice， irritability scores， corneal fluorescein staining， and histopathological changes in the cornea， lacrimal glands， meibomian glands， and liver tissue. Enzyme-linked immunosorbent assay （ELISA） was used to detect the levels of interleukin-1β （IL-1β） and tumour necrosis factor-α （TNF-α） in serum. Immunohistochemistry （IHC） was used to detect the protein expression of IL-1β and TNF-α in corneal and lacrimal gland tissues. Real-time quantitative polymerase chain reaction（Real-time PCR） and Western blot were employed to detect the mRNA and protein expressions of TLR4， MyD88， and NF-κB p65 in corneal， lacrimal gland， and meibomian gland tissues. ResultsCompared with those in the normal group， mice in the model group exhibited significantly reduced tear secretion， significantly higher irritability scores， and more pronounced corneal fluorescence staining， with marked pathological damage observed in the cornea， lacrimal glands， meibomian glands， and liver tissue. IL-1β and TNF-α levels in serum were significantly elevated. The protein expressions of IL-1β and TNF-α in corneal and lacrimal gland tissues， as well as the mRNA and protein expressions of TLR4， MyD88， and NF-κB p65 in corneal， lacrimal gland， and meibomian gland tissues， were all significantly increased （P<0.01）. Compared with the model group， the sodium hyaluronate group and Runmu Xiaoyao powder groups with different doses exhibited increased tear secretion to varying degrees， alleviated corneal fluorescence staining and histopathological damage， reduced IL-1β and TNF-α levels in serum， and downregulated protein expressions of IL-1β and TNF-α in corneal and lacrimal gland tissues， as well as the mRNA and protein expressions of TLR4， MyD88， and NF-κB p65 in corneal， lacrimal gland， and meibomian gland tissues. The high-dose Runmu Xiaoyao powder group demonstrated a more pronounced effect， with multiple indicators showing superior results compared to those in the sodium hyaluronate group （P<0.05， P<0.01）. ConclusionRunmu Xiaoyao powder down-regulates the TLR4/MyD88/NF-κB signaling pathway activity in the cornea， lacrimal glands， and meibomian glands of model mice with dry eye and liver depression-heat syndrome， thereby suppressing inflammatory responses and mitigating ocular surface tissue damage. The therapeutic effect is dose-dependent， and the high-dose group exerts the most prominent effect.

Hemoglobin (Hb) concentration is a key clinical biomarker for diagnosing and managing anemia, ischemic stroke, perioperative blood loss, and chronic diseases such as renal failure. Traditional venous blood sampling remains the gold standard due to its high accuracy, but its invasive nature limits frequent testing, real time monitoring, and large scale screening. This has driven growing interest in non-invasive Hb detection technologies over the past decade. Among these, optical methods are the most promising because of their safety, potential for continuous monitoring, and compatibility with portable or wearable devices. This paper systematically reviews major advances in optical non invasive Hb detection from the last ten years. We focus on near-infrared spectroscopy branches—photoplethysmography (PPG) and dynamic spectrum (DS)—and also cover color analysis/RGB imaging, Raman spectroscopy, and photoacoustic spectroscopy. For each technology, we explain its detection principles, analyze advantages and limitations, and summarize optimization strategies reported in recent literature. PPG, based on pulsatile blood volume changes, underpins many commercial continuous monitors. However, its accuracy is constrained by motion artifacts, individual physiological variations (e.g., skin tone, tissue thickness), and low AC signal to noise ratio. In contrast, DS—an advanced derivative of PPG—uses a differential principle to extract absorbance changes between systolic and diastolic peaks. This theoretically eliminates interference from static tissues (skin, bone, venous blood) and common mode noise (e.g., ambient light), positioning DS as a more robust framework for high precision Hb quantification. Beyond spectral methods, color analysis/RGB imaging offers a hardware minimalist approach. By analyzing images of vascular rich, thin tissues (e.g., conjunctiva, nail beds, palms), it enables Hb estimation using smartphone cameras. Recent advances have shifted from manual RGB feature extraction to deep learning models and spectral super resolution that reconstruct hyperspectral data from RGB inputs, significantly improving screening accuracy. Our academic perspective emphasizes critical and integrative analysis. We highlight persistent challenges that hinder clinical translation: profound individual biological variability (skin optics, microvascular architecture), sensitivity to measurement conditions (pressure, ambient light), and a lack of standardized validation protocols and multi center trials. A central thesis is that no single optical method is universally superior; each involves trade offs between accuracy, complexity, cost, and practicality. Looking forward, we posit that the next performance leap will come from multimodal information fusion—combining PPG, electrocardiogram (ECG), bioimpedance, or different optical modalities to compensate for individual differences and environmental noise. AI and deep learning are essential not only for image analysis but also for automated, end to end feature extraction from complex waveforms like PPG sequences. Advancing hardware (tunable lasers, quantum dot LEDs, novel sensor designs) is crucial to improve signal fidelity and portability. Finally, we advocate for clinical scenario specific optimization and rigorous standardized evaluation frameworks to gain regulatory approval (e.g., FDA, NMPA) and achieve widespread clinical acceptance. In conclusion, this review synthesizes a decade of progress. Optical non-invasive Hb detection has evolved from proof of concept studies to emerging products and validated screening tools, but the journey toward reliable, clinic ready quantitative devices continues. The convergence of smarter algorithms, fused sensing modalities, and focused clinical validation offers the most promising path to transform this potential into routine medical practice, ultimately enabling personalized, continuous, and accessible hematological management.

Acute kidney injury (AKI) is a prevalent and life-threatening clinical syndrome characterised by a rapid decline in renal function and diverse pathological etiologies. The condition has been demonstrated to be associated with elevated mortality rates and an increased risk of progression to chronic kidney disease. At present, clinicians depend heavily on conventional functional markers, such as serum creatinine and urine output, for the diagnosis and staging of the disease. It is evident that these conventional indicators characteristically manifest a considerable temporal delay and only undergo modification subsequent to considerable tissue damage. This severely restricts the timeframe for early detection and timely therapeutic intervention. Furthermore, standard markers fail to provide specific biological information regarding the underlying cellular injury mechanisms. The utilisation of advanced probe technologies in molecular imaging offers a robust alternative to overcome these inherent diagnostic limitations.This comprehensive review systematically evaluates recent progress in the design and application of two primary categories of molecular imaging tools for acute kidney disease, specifically reactive probes and enzyme-activated probes. Reactive probes are engineered to specifically interact with redox-active chemical species, including hydrogen peroxide, peroxynitrite, hypochlorous acid, and sulfur dioxide. Because oxidative stress constitutes a primary early event in acute renal tubular damage, these probes enable researchers and clinicians to visualize early cellular injury and radical accumulation well before global renal functional decline becomes evident. We discuss the application of these reactive probes across multiple imaging modalities including fluorescence imaging, magnetic resonance imaging (MRI), positron emission tomography (PET), and photoacoustic techniques. Photoacoustic imaging combines high spatial resolution with deep tissue penetration and has successfully demonstrated the ability to provide diagnostic alerts up to 12 h before any detectable rise in serum creatinine levels. Additionally, specific reactive probes have shown promising translational potential when tested by high-throughput screening in clinical human urine samples. Enzyme-activated probes target the specific catalytic activity of disease-relevant enzymes. These include well-documented renal tubular structural biomarkers such as NAG, GGT, and ALP, along with apoptosis-related caspases and specific nitroreductases. By responding only to enzymatic cleavage, these tools provide highly specific and pathology-directed imaging readouts. Recent structural design strategies in this field have advanced significantly beyond single-enzyme detection. Researchers are now focusing on sophisticated dual-target recognition to minimize background noise, multimodal integration to cross-validate imaging signals, and theranostic applications where probes simultaneously deliver diagnostic feedback and therapeutic agents to injured tissues. Nanotechnology serves as a fundamental enabler for realizing these advanced probe functions. By precisely optimizing nanoparticle parameters such as hydrodynamic size, surface charge, and targeting ligands, researchers can achieve amplified signal output, highly precise kidney delivery, and protection against premature degradation in the systemic circulation. For example, modifying surface charges can significantly enhance the active uptake of nanoprobes by damaged renal tubular epithelial cells.While preclinical probe development has progressed rapidly, moving these technologies into routine clinical practice remains a major challenge. We analyze the translational feasibility and current obstacles from biological, technological, and regulatory perspectives. Although biological targets such as KIM-1, FAP, and ALP have been validated in extensive patient cohorts, practical barriers severely limit their immediate clinical application. These obstacles involve complex changes in in vivo pharmacokinetics. During an acute injury episode, the extreme drop in the glomerular filtration rate alters probe clearance and can cause unwanted systemic accumulation or confusing background imaging signals. Other major hurdles include a lack of comprehensive long-term toxicity data and the absence of standardized manufacturing protocols to ensure batch-to-batch consistency. Future successful translation will require rigorous multi-center clinical studies to confirm the true diagnostic value of these probes over traditional markers. Researchers must also establish strict standardization of imaging procedures and comprehensive safety evaluations. Ultimately, this review provides a thorough reference framework for designing clinically translatable molecular probes and building a precision diagnostic imaging system for acute kidney injury.

Objective To investigate the expression of six-transmembrane epithelial antigen of prostate 4 (STEAP4) in prostate cancer (PCa), explore its correlation with the infiltration of regulatory T cells (Tregs) and CD8+T cells within the tumor-infiltrating T lymphocyte population, and to predict the potential role of STEAP4 in promoting PCa progression. Methods The clinicopathological data and tumor tissue specimens were collected from 90 PCa patients undergoing radical prostatectomy at our hospital during Jan.2018 and Dec.2024.The protein expressions of STEAP4, forkhead box transcription factor P3 (FoxP3), and CD8+T cells in tumor tissues were detected with immunohistochemistry.The correlation between STEAP4 expression and the infiltration of Tregs (FoxP3 T cells), CD8+T cells and clinicopathological characteristics was analyzed.The relationship between STEAP4 expression and prognosis was evaluated with Kaplan-Meier survival curves. Results STEAP4 expression was significantly higher in PCa tissues than in adjacent benign tissues (P＜0.001).STEAP4 expression was significantly associated with serum total prostate-specific antigen (tPSA) level, seminal vesicle invasion, extraprostatic extension, International Society of Urological Pathology (ISUP) grading, and pathological T stage (all P＜0.05).The mean infiltration density of Tregs (FoxP3 T cells) in PCa tissues was significantly higher than that in adjacent benign tissues[ (11.09±5.05) cells/HPF vs. (3.92±1.59) cells/HPF, P＜0.001], while the mean infiltration density of CD8+T cells was significantly lower[ (6.07±2.90) cells/HPF vs. (27.23±6.75) cells/HPF, P＜0.001].In PCa tissues, STEAP4 expression showed a significant positive correlation with Treg (FoxP3 T cells) infiltration density (r_s=0.472, P＜0.001) and a significant negative correlation with CD8+T-cell infiltration density (r_s=-0.495, P＜0.001).Kaplan-Meier survival curves indicated that high STEAP4 expression group and low STEAP4 expression group in PCa patients was not correlated with overall survival (OS) or recurrence-free survival (P=0.562, 0.346). Conclusion STEAP4 is highly expressed in PCa tissues, and its expression is closely associated with tumor-infiltrating lymphocytes, particularly Tregs and CD8+T cells, suggesting that STEAP4 may cooperate with Tregs and CD8+T cells to regulate the tumor microenvironment, thereby promoting PCa progression.

BACKGROUND: Blood glucose and serum albumin have been associated with cardiovascular disease prognosis, but the impact of admission-blood-glucose-to-albumin ratio (AAR) on adverse outcomes in critical ill coronary artery disease (CAD) patients was not investigated. METHODS: Patients diagnosed with CAD were non-consecutively selected from the MIMIC-IV database and categorized into quartiles based on their AAR. The primary outcome was 1-year mortality, and secondary endpoints were in-hospital mortality, acute kidney injury (AKI), and renal replacement therapy (RRT). A restricted cubic splines model and Cox proportional hazard models assessed the association between AAR and adverse outcomes in CAD patients. Kaplan-Meier survival analysis determined differences in endpoints across subgroups. RESULTS: A total of 8360 patients were included. There were 726 patients (8.7%) died in the hospital and 1944 patients (23%) died at 1 year. The incidence of AKI and RRT was 63% and 4.3%, respectively. High AAR was markedly associated with in-hospital mortality (HR = 1.587, P = 0.003), 1-year mortality (HR = 1.502, P < 0.001), AKI incidence (HR = 1.579, P < 0.001), and RRT (HR = 1.640, P < 0.016) in CAD patients in the completely adjusted Cox proportional hazard model. Kaplan-Meier survival analysis noted substantial differences in all endpoints based on AAR quartiles. Stratified analysis and interaction test demonstrated stable correlations between AAR and outcomes. CONCLUSIONS The results highlight that AAR may be a potential indicator for assessing in-hospital mortality, 1-year mortality, and adverse renal prognosis in critical CAD patients.

OBJECTIVE: Automatic planning is a commonly used alternative to manual planning. This study evaluated the clinical performance of automatic plans available in commercial treatment planning systems for nasopharyngeal carcinoma (NPC) treatment by comparing automatic planning with manual planning. METHODS: A total of 14 patients with nasopharyngeal carcinoma were enrolled in the study. For each patient, three different sets of clinical goals were used to generate three hybrid automatic plans based on 3D dose distribution prediction and three automatic plans based on script, respectively, which were compared with the manual plans used in clinic. RESULTS: The dose coverage performance of the automatic planning based on 3D dose distribution prediction on the planning target volume (PTV) was comparable to that of the manual planning. Automatic planning based on 3D dose prediction achieved the level of manual planning in most organs at risk. However, automatic planning based on scripts did not perform well in the prediction of some organs at risk, especially the parotid gland. CONCLUSION The hybrid automatic plan based on 3D dose distribution prediction can reach the level of manual planning and have good robustness with the change of clinical objective.
Humans ; Nasopharyngeal Neoplasms/radiotherapy* ; Radiotherapy Planning, Computer-Assisted/methods* ; Nasopharyngeal Carcinoma ; Male ; Female ; Middle Aged ; Adult ; Carcinoma ; Radiotherapy Dosage

Recently, diffusion models have emerged as a promising paradigm for molecular design and optimization. However, most diffusion-based molecular generative models focus on modeling 2D graphs or 3D geometries, with limited research on molecular sequence diffusion models. The International Union of Pure and Applied Chemistry (IUPAC) names are more akin to chemical natural language than the Simplified Molecular Input Line Entry System (SMILES) for organic compounds. In this work, we apply an IUPAC-guided conditional diffusion model to facilitate molecular editing from chemical natural language to chemical language (SMILES) and explore whether the pre-trained generative performance of diffusion models can be transferred to chemical natural language. We propose DiffIUPAC, a controllable molecular editing diffusion model that converts IUPAC names to SMILES strings. Evaluation results demonstrate that our model outperforms existing methods and successfully captures the semantic rules of both chemical languages. Chemical space and scaffold analysis show that the model can generate similar compounds with diverse scaffolds within the specified constraints. Additionally, to illustrate the model's applicability in drug design, we conducted case studies in functional group editing, analogue design and linker design.

OBJECTIVE: To explore clinical efficacy of tibial transverse transport (TTT) combined with debridement in treating necrotizing fasciitis of the lower extremities. METHODS: A retrospective analysis was conducted on 31 patients with necrotizing fasciitis of the lower extremities who were treated with TTT from January 2021 to October 2023, including 28 males and 3 females, aged from 44 to 76 years old with an average of (57.58±8.79) years old. In-hospital mortality rate, amputation rate, length of hospital stay, hospitalization cost, number of surgeries, and inflammatory indicators before and after operation (white blood cells, hemoglobin, C-reactive protein, albumin), as well as wound healing and daily living ability were observed and compared. RESULTS: All 31 patients were followed up for 3 to 12 months with an average of (6.61±2.46) months. All patients' wounds healed without recurrence. The wound healing time was (4.96±2.61) months, amputation rate of 31 patients was 3.22% (1/31), in-hospital mortality rate was 0%, the length of hospital stay was (27.10±24.51) days, the hospitalization cost was (107, 300 ± 83, 300) yuan, and the number of surgeries was (3.26±1.93) times. White blood cells, C-reactive protein and albumin before operation were (13.41±5.54) ×10⁹/L, (136.67±73.50) mg·L^-1 and (25.92±5.59) g·L^-11 respectively, and improved to (11.05±3.65) ×10⁹/L, (79.91±51.40) mg·L^-1, and (30.31±4.02) g·L^-1 at 2 weeks after operation, and the differences were statistically significant (P<0.05);there was no statistically significant difference in hemoglobin before and after operation (P>0.05). At the latest follow-up, 16 patients were able to take care of themselves, 12 patients were partially self-sufficient, and 3 patients were completely unable to take care of themselves. CONCLUSION TTT with debridement could achieve satisfactory clinical efficacy in treating necrotizing fasciitis of the lower extremities.
Humans ; Male ; Female ; Middle Aged ; Aged ; Adult ; Fasciitis, Necrotizing/mortality* ; Retrospective Studies ; Debridement ; Lower Extremity/surgery* ; Tibia/surgery*