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.

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.

Metabolic dysfunction-associated fatty liver disease （MAFLD） is a chronic liver disease closely related to metabolic dysfunction. Its global prevalence is increasing year by year and shows a trend toward younger onset. It is closely associated with cardiovascular and cerebrovascular diseases， chronic kidney disease， and extrahepatic malignant tumors， and has become a major public health problem affecting the health of the Chinese population. At present， the treatment of MAFLD mainly focuses on lifestyle intervention. When metabolic cardiovascular risk factors and liver injury are present， pharmacological intervention is required. However， there is still no specific drug therapy for MAFLD. In recent years， many studies have found that the pathogenesis of MAFLD involves interactions among multiple factors， including insulin resistance， oxidative stress， endoplasmic reticulum stress， programmed cell death， immune dysregulation， inflammasomes， gut microbiota imbalance， and bile acid metabolism. Traditional Chinese medicine （TCM） has advantages in integrated regulation with multiple components and multiple targets， and shows significant efficacy in the treatment of MAFLD. Active components of Chinese medicinal herbs and Chinese medicine compound formulas exert definite therapeutic effects by regulating multiple signaling pathways to improve lipid metabolism disorders， inhibit inflammatory responses， and regulate the gut microbiota， thereby effectively improving clinical symptoms and delaying the occurrence and development of MAFLD. Therefore， strengthening research on the mechanisms of action of TCM in MAFLD is of crucial importance and significance for its treatment. This article summarizes the mechanisms by which Chinese medicine monomers and compound formulas intervene in MAFLD through the regulation of related signaling pathways， based on the retrieval and analysis of relevant literature from multiple databases， with the aim of providing theoretical support and a reference basis for the clinical application of TCM in the treatment of MAFLD.

ObjectiveTo evaluate the efficacy of Shexiang Baoxinwan in treating stable angina pectoris with Qi stagnation and blood stasis syndrome in patients with coronary artery disease （CAD） complicated with anxiety and depression and explore its underlying mechanisms. MethodsThis study employed a randomized， double-blind， and placebo-controlled clinical trial design. Patients admitted to the hospital were randomly assigned to the observation group and the control group， with 52 patients in each group. Patients in the observation and control groups received Shexiang Baoxinwan and placebo， respectively， both in combination with conventional Western medication. The dose was 45.0 mg， three times daily， for a total duration of eight weeks. The primary outcome was the Seattle Angina Questionnaire （SAQ） scores before and after treatment. Secondary outcomes included changes in traditional Chinese medicine （TCM） syndrome score， the patient health questionnaire-9 （PHQ-9）， generalized anxiety disorder-7 （GAD-7）， inflammatory markers ［interleukin-18 （IL-18）， interleukin-10 （IL-10）， tumor necrosis factor-alpha （TNF-α）， CD40， etc.］， monoamine neurotransmitters ［e.g.， dopamine （DA）］， vascular endothelial function markers ［e.g.， endothelin-1（ET-1）］， adipokines， and ischemia-modified albumin （IMA）. Adverse reactions were also recorded. ResultsA total of 92 patients completed the study， with 44 in the observation group and 48 in the control group. Compared with baseline， both groups showed significant decreases in PHQ-9， GAD-7， and TCM syndrome scores following treatment （P<0.05）， along with a significant increase in SAQ scores （P<0.05）. In the observation group， DA levels were significantly increased （P<0.05）， while levels of IL-18， TNF-α， CD40， ET-1， and IMA were decreased （P<0.05）. In contrast， the control group exhibited significantly increased CD40 levels （P<0.05）. Compared with the control group after treatment， the observation group showed significant improvements in the SAQ dimensions of physical limitation， angina stability， treatment satisfaction， and disease perception， as well as in TCM syndrome score， PHQ-9 score， IL-18， CD40， ET-1， and IMA （P<0.05）. No adverse reactions were observed in either group during treatment. ConclusionShexiang Baoxinwan can improve anxiety and depression， alleviate angina symptoms， and reduce TCM symptoms of Qi stagnation and blood stasis in CAD patients. The mechanism may involve anti-inflammation， improvement of vascular endothelial function， reduction of IMA， and increase of monoamine neurotransmitter levels.

ObjectiveTo evaluate the efficacy of Shexiang Baoxinwan in treating stable angina pectoris with Qi stagnation and blood stasis syndrome in patients with coronary artery disease （CAD） complicated with anxiety and depression and explore its underlying mechanisms. MethodsThis study employed a randomized， double-blind， and placebo-controlled clinical trial design. Patients admitted to the hospital were randomly assigned to the observation group and the control group， with 52 patients in each group. Patients in the observation and control groups received Shexiang Baoxinwan and placebo， respectively， both in combination with conventional Western medication. The dose was 45.0 mg， three times daily， for a total duration of eight weeks. The primary outcome was the Seattle Angina Questionnaire （SAQ） scores before and after treatment. Secondary outcomes included changes in traditional Chinese medicine （TCM） syndrome score， the patient health questionnaire-9 （PHQ-9）， generalized anxiety disorder-7 （GAD-7）， inflammatory markers ［interleukin-18 （IL-18）， interleukin-10 （IL-10）， tumor necrosis factor-alpha （TNF-α）， CD40， etc.］， monoamine neurotransmitters ［e.g.， dopamine （DA）］， vascular endothelial function markers ［e.g.， endothelin-1（ET-1）］， adipokines， and ischemia-modified albumin （IMA）. Adverse reactions were also recorded. ResultsA total of 92 patients completed the study， with 44 in the observation group and 48 in the control group. Compared with baseline， both groups showed significant decreases in PHQ-9， GAD-7， and TCM syndrome scores following treatment （P<0.05）， along with a significant increase in SAQ scores （P<0.05）. In the observation group， DA levels were significantly increased （P<0.05）， while levels of IL-18， TNF-α， CD40， ET-1， and IMA were decreased （P<0.05）. In contrast， the control group exhibited significantly increased CD40 levels （P<0.05）. Compared with the control group after treatment， the observation group showed significant improvements in the SAQ dimensions of physical limitation， angina stability， treatment satisfaction， and disease perception， as well as in TCM syndrome score， PHQ-9 score， IL-18， CD40， ET-1， and IMA （P<0.05）. No adverse reactions were observed in either group during treatment. ConclusionShexiang Baoxinwan can improve anxiety and depression， alleviate angina symptoms， and reduce TCM symptoms of Qi stagnation and blood stasis in CAD patients. The mechanism may involve anti-inflammation， improvement of vascular endothelial function， reduction of IMA， and increase of monoamine neurotransmitter levels.

BACKGROUND: Tissue engineering holds promise for vascular repair and regeneration by mimicking the extracellular matrix of blood vessels. However, achieving a functional and thick vascular wall with aligned fiber architecture by electrospinning remains a significant challenge. METHODS: A novel electrospinning setup was developed that utilizes an auxiliary electrode and a spring. The impact of process parameters on fiber size and morphology was investigated. The structure and functions of the scaffolds were evaluated through material characterization and assessments of cellular biocompatibility. RESULTS: The new setup enabled controlled deposition of fibers in different designed orientations. The fabricated small-diameter vascular scaffolds consisted of an inner layer of longitudinally oriented fibers and an outer layer of circumferentially oriented fibers (L + C vascular scaffold). Key parameters, including rotational speed, the utilization of the auxiliary electrode, and top-to-collector distance (TCD) significantly influenced fiber orientation. Additionally, voltage, TCD, feed rate, needle size, auxiliary electrode and collector-auxiliary electrode distance affected fiber diameter and distribution. Mechanical advantages and improved surface wettability of L + C vascular scaffold were confirmed through tensile testing and water contact angle. Cellular experiments indicated that L + C vascular scaffold facilitated cell adhesion and proliferation, with human umbilical vein endothelial cells and smooth muscle cells attaching and elongating along the fiber direction of the inner and outer layer, respectively. CONCLUSION This study demonstrated the feasibility of fabricating fiber-aligned, thick-walled vascular scaffolds using a modified electrospinning setup. The findings provided insights into how the auxiliary electrode, specific collector influenced fiber deposition, potentially advancing biomimetic vascular scaffold engineering.

One of its primary surgical treatments of tricuspid regurgitation is tricuspid valve biological valve replacement. Catheter tricuspid valve-in-valve implantation is a novel interventional alternative for biological valve failure. The non-invasive lung fluid measuring device remote dielectric sensing (ReDSTM) has been increasingly incorporated into clinical practice as a means of monitoring chronic heart failure in recent years. This report describes the process and outcomes of the first instance of perioperative lung fluid volume evaluation following transcatheter tricuspid valve implantation utilizing ReDSTM technology. The patient has a short-term, substantial increase in postoperative lung fluid volume as compared to baseline.

Disorders of consciousness (DOC) are pathological conditions characterized by severely suppressed brain function and the persistent interruption or loss of consciousness. Accurate diagnosis and evaluation of DOC are prerequisites for precise treatment. Traditional assessment methods are primarily based on behavioral scales, which are inherently subjective and rely on observable behaviors. Moreover, traditional methods have a high misdiagnosis rate, particularly in distinguishing minimally conscious state (MCS) from vegetative state/unresponsive wakefulness syndrome (VS/UWS). This diagnostic uncertainty has driven the exploration of objective, reliable, and efficient assessment tools. Among these tools, electroencephalography (EEG) has garnered significant attention for its non-invasive nature, portability, and ability to capture real-time neurodynamics. This paper systematically reviews the application of EEG biomarkers in DOC assessment. These biomarkers are categorized into 3 main types: resting-state EEG features, task-related EEG features, and features derived from transcranial magnetic stimulation-EEG (TMS-EEG). Resting-state EEG biomarkers include features based on spectrum, microstates, nonlinear dynamics, and brain network metrics. These biomarkers provide baseline representations of brain activity in DOC patients. Studies have shown their ability to distinguish different levels of consciousness and predict clinical outcomes. However, because they are not task-specific, they are challenging to directly associate with specific brain functions or cognitive processes. Strengthening the correlation between resting-state EEG features and consciousness-related networks could offer more direct evidence for the pathophysiological mechanisms of DOC. Task-related EEG features include event-related potentials, event-related spectral modulations, and phase-related features. These features reveal the brain’s responses to external stimuli and provide dynamic information about residual cognitive functions, reflecting neurophysiological changes associated with specific cognitive, sensory, or behavioral tasks. Although these biomarkers demonstrate substantial value, their effectiveness rely on patient cooperation and task design. Developing experimental paradigms that are more effective at eliciting specific EEG features or creating composite paradigms capable of simultaneously inducing multiple features may more effectively capture the brain activity characteristics of DOC patients, thereby supporting clinical applications. TMS-EEG is a technique for probing the neurodynamics within thalamocortical networks without involving sensory, motor, or cognitive functions. Parameters such as the perturbational complexity index (PCI) have been proposed as reliable indicators of consciousness, providing objective quantification of cortical dynamics. However, despite its high sensitivity and objectivity compared to traditional EEG methods, TMS-EEG is constrained by physiological artifacts, operational complexity, and variability in stimulation parameters and targets across individuals. Future research should aim to standardize experimental protocols, optimize stimulation parameters, and develop automated analysis techniques to improve the feasibility of TMS-EEG in clinical applications. Our analysis suggests that no single EEG biomarker currently achieves an ideal balance between accuracy, robustness, and generalizability. Progress is constrained by inconsistencies in analysis methods, parameter settings, and experimental conditions. Additionally, the heterogeneity of DOC etiologies and dynamic changes in brain function add to the complexity of assessment. Future research should focus on the standardization of EEG biomarker research, integrating features from resting-state, task-related, and TMS-EEG paradigms to construct multimodal diagnostic models that enhance evaluation efficiency and accuracy. Multimodal data integration (e.g., combining EEG with functional near-infrared spectroscopy) and advancements in source localization algorithms can further improve the spatial precision of biomarkers. Leveraging machine learning and artificial intelligence technologies to develop intelligent diagnostic tools will accelerate the clinical adoption of EEG biomarkers in DOC diagnosis and prognosis, allowing for more precise evaluations of consciousness states and personalized treatment strategies.

BACKGROUND: Tissue engineering holds promise for vascular repair and regeneration by mimicking the extracellular matrix of blood vessels. However, achieving a functional and thick vascular wall with aligned fiber architecture by electrospinning remains a significant challenge. METHODS: A novel electrospinning setup was developed that utilizes an auxiliary electrode and a spring. The impact of process parameters on fiber size and morphology was investigated. The structure and functions of the scaffolds were evaluated through material characterization and assessments of cellular biocompatibility. RESULTS: The new setup enabled controlled deposition of fibers in different designed orientations. The fabricated small-diameter vascular scaffolds consisted of an inner layer of longitudinally oriented fibers and an outer layer of circumferentially oriented fibers (L + C vascular scaffold). Key parameters, including rotational speed, the utilization of the auxiliary electrode, and top-to-collector distance (TCD) significantly influenced fiber orientation. Additionally, voltage, TCD, feed rate, needle size, auxiliary electrode and collector-auxiliary electrode distance affected fiber diameter and distribution. Mechanical advantages and improved surface wettability of L + C vascular scaffold were confirmed through tensile testing and water contact angle. Cellular experiments indicated that L + C vascular scaffold facilitated cell adhesion and proliferation, with human umbilical vein endothelial cells and smooth muscle cells attaching and elongating along the fiber direction of the inner and outer layer, respectively. CONCLUSION This study demonstrated the feasibility of fabricating fiber-aligned, thick-walled vascular scaffolds using a modified electrospinning setup. The findings provided insights into how the auxiliary electrode, specific collector influenced fiber deposition, potentially advancing biomimetic vascular scaffold engineering.

BACKGROUND: Tissue engineering holds promise for vascular repair and regeneration by mimicking the extracellular matrix of blood vessels. However, achieving a functional and thick vascular wall with aligned fiber architecture by electrospinning remains a significant challenge. METHODS: A novel electrospinning setup was developed that utilizes an auxiliary electrode and a spring. The impact of process parameters on fiber size and morphology was investigated. The structure and functions of the scaffolds were evaluated through material characterization and assessments of cellular biocompatibility. RESULTS: The new setup enabled controlled deposition of fibers in different designed orientations. The fabricated small-diameter vascular scaffolds consisted of an inner layer of longitudinally oriented fibers and an outer layer of circumferentially oriented fibers (L + C vascular scaffold). Key parameters, including rotational speed, the utilization of the auxiliary electrode, and top-to-collector distance (TCD) significantly influenced fiber orientation. Additionally, voltage, TCD, feed rate, needle size, auxiliary electrode and collector-auxiliary electrode distance affected fiber diameter and distribution. Mechanical advantages and improved surface wettability of L + C vascular scaffold were confirmed through tensile testing and water contact angle. Cellular experiments indicated that L + C vascular scaffold facilitated cell adhesion and proliferation, with human umbilical vein endothelial cells and smooth muscle cells attaching and elongating along the fiber direction of the inner and outer layer, respectively. CONCLUSION This study demonstrated the feasibility of fabricating fiber-aligned, thick-walled vascular scaffolds using a modified electrospinning setup. The findings provided insights into how the auxiliary electrode, specific collector influenced fiber deposition, potentially advancing biomimetic vascular scaffold engineering.