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.

Objective:To investigate the efficacy of volar anatomical locking plates combined with dorsal mini-plates in treating com-plex distal radius fractures.Methods:We retrospectively included patients with complex distal radius fractures who had been treated with volar locking plates and dorsal mini-plates at Chongqing General Hospital from January 2019 to June 2023.The quality of articu-lar surface fragment reduction was assessed through image analysis.Follow-up data included the Mayo wrist score,Disabilities of the Arm,Shoulder,and Hand Questionnaire(DASH)score,wrist range of motion,time to fracture healing,and complications.Results:Twenty-eight patients[19 males,9 females;mean age,(45.4±11.9)years]were included,with a mean follow-up of 1(4.9±3.6)months.Their injury mechanisms included falls from height(11 cases),traffic accidents(9 cases),and simple falls(8 cases).After op-eration,the volar tilt was(5.1±4.9)°,and the ulnar inclination was(19.8±2.8)°;at the final follow-up,the angles were(5.2±4.8)° and(19.3±2.5)°,respectively,neither showing any significant change(P>0.05).At the final follow-up,all fractures healed,with a mean healing time of 3.6 months.At 1 year after operation,the wrist extension was(50.7±6.3)°;the wrist flexion was(49.4±6.1)°;the DASH score was 15.0±6.3;the Mayo wrist scores were excellent or good in 24 cases;the grip strength of the affected side averaged 84.4%of that of the contralateral side.No implant loosening occurred.Two cases of superficial wound infection and one case of exten-sor tendon irritation were reported.Conclusion:Locked volar plat-ing combined with dorsal mini-plating provides stable fixation for comminuted articular surface fragments in complex distal radius fractures,enabling early functional rehabilitation with favorable wrist recovery and low rates of dorsal tendon irritation.

Fe/Mn/Gd polymetallic nanooxide(FMGN)were prepared by one-step solvent thermal reaction by using Fe(acac)3,Mn(acac)2 and Gd(acac)3 as reaction precursors.Next,hyaluronic acid(HA)was used to modify FMGN to fabricate tumor-targeting T 1-T 2 dual-mode magnetic resonance imaging(MRI)contrast agent(HA-FMGN)for accurate diagnosis of prostate cancer.The structure and morphology of FMGN were observed by transmission electron microscope(TEM).It was found that FMGN exhibited a uniform nanocluster spherical structure when the feeding ratio of iron acetylacetonate,manganese acetylacetonate,and gadolinium acetylacetonate was 3:2:1.X-ray diffraction(XRD)analysis showed that FMGN had a typical inverse spinel structure of Mn doped Fe 3O 4,with Gd existing in the form of amorphous gadolinium oxide.The longitudinal relaxivity(r 1)and transverse relaxivity(r 2)of FMGN were 13.395 and 428.535 L/(mmol·s),respectively,measured by 0.5 T MRI analyzer,which proved that FMGN had excellent T 1-T 2 dual-mode MRI contrast capability.The cytotoxicity and hemolysis test found that HA-FMGN didn't damage red cells and induce toxicity for normal cells,indicating that HA-FMGN had excellent cell biocompatibility.The internalization efficacy of HA-FMGN was observed by CLSM,and the results showed that HA-FMGN possessed excellent prostate tumor-targeting ability.In vivo MRI experiment showed that HA-FMGN significantly enhanced T 1 and T 2 weighted MRI signal to noise ratio(SNR)of prostate tumor,which promoted the accurate diagnosis of orthotopic prostate cancer.

The hydroxyl value and conjugated linoleic acid content of dehydrated castor oils are two important indicators that reflect its properties.Thus,monitoring the two indicators can better realize the industrial production of high-quality dehydrated castor oils.However,traditional chemical measurement methods have many disadvantages in determination of the two indictors,including large reagent consumption,long determination time,and cannot achieve rapid monitoring.Fourier transform infrared spectrometry(FTIR)is a new and non-destructive detection method that is low-cost and can achieve rapid detection.In this work,FTIR technique was employed to collect spectral information of dehydrated castor oils and analyze the relationship between FTIR spectral information and hydroxyl value and conjugated linoleic acid content,and a rapid detection method for detecting the property indicators of dehydrated castor oils was thus established.FTIR scanning was performed on dehydrated castor oils with a hydroxyl value of 21.9-161.4 mg KOH/g and a conjugated linoleic acid content of less than 37.5%.Among different preprocessing methods,orthogonal scatter correction(OSC)could improve the prediction accuracy of the resulting model,by which the optimal modeling data segments for hydroxyl value and conjugated linoleic acid content were 3200-3800 cm-1 and 800-1200 cm-1,respectively,and the optimal modeling method was partial least squares(PLS).The coefficients of determination of the optimal models for hydroxyl value and conjugated linoleic acid content were all above 0.99.

Puerarin is a monomeric isoflavone compound derived from Puerariae Lobatae Radix. It exhibits poor solubility in both water and lipids, resulting in suboptimal oral absorption and low bioavailability. There is therefore an urgent need to develop new methods of applying puerarin to enhance its solubility and bioavailability. Studies have revealed that puerarin possesses distinctive physical and chemical properties, including the ability to self-assemble into supramolecular hydrogels in response to temperature changes. In this review, the research progress of puerarin as a hydrogel system containing loaded drugs, as well as a hydrogel system composed of hydrogel matrix in the field of tissue regeneration was summarized. This is intended to provide a reference for the rational and efficient use of drugs and lay the groundwork for the development and preparation of new drug carrier platforms.

Objective To construct a uricase-deficient mouse model with stable inheritance using the CRISPR/Cas9 system,and evaluate its ability to simulate the disease characteristics of patients with hyperuricemia.Methods Double single guide RNAs(sgRNAs)were designed on both sides of exon 2～4 of the Uox gene.sgRNA and Cas9 mRNA for gene knockout were microinjected into the fertilized eggs of mice.After culture for 2～4 h,the embryos were transferred to surrogate mother mice to produce an F0 generation.Uox-knockout mice were identified by polymerase chain reaction and sequencing analysis.Positive mice were then mated with wild-type(WT)mice to produce an F1 generation,and heterozygous female and male F1 mice were then selected to obtain homozygous F2 mice.Serum and urine levels of uric acid,creatinine,and urea,and serum alanine aminotransferase(ALT)and aspartate aminotransferase(AST)levels were detected and compared between homozygous and wild-type mice.Pathological changes in kidney and liver tissues were observed by hematoxylin and eosin and Masson staining.Results Urine levels of serum uric acid(male:(4116.8±1928.1)μmol/L,P＜0.001;female:(2998.0±547.7)μmol/L,P＜0.01)and serum levels of uric acid(male:(478.4±114.6)μmol/L,P＜0.001;female:(507.7±129.6)μmol/L,P＜0.001),creatinine((91.8±55.6)μmol/L,P＜0.001),urea((28.6±13.9)mmol/L,P＜0.05),ALT((53.3±23.3)U/L,P＜0.01),and AST((203.3±70.3)U/L,P＜0.001)were significantly increased in Uox-/-mice compared with WT mice.Histopathological examination showed moderate hepatocyte degeneration in the liver,moderate-to-severe tubular cystic dilation,degeneration,and fibrosis in the kidney,glomerular hypertrophy and hyperplasia,small-vessel dilation and congestion,and infiltration of stromal monocytes and lymphocytes in Uox-/-mice.Conclusions We successfully established a homozygous uricase-deficient mouse strain using CRISPR/Cas9 technology,as a suitable animal model for research in the field of hyperuricemia.

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.

Objective:To develop a vasectomy intention scale (VIS) and evaluate its reliability and validity for assessing men's intentions toward vasectomy.Methods:Based on the Theory of Planned Behavior, the VIS was developed through a process that included literature review, panel discussions, expert consultations, and a pilot survey. A total of 264 men seeking vasectomy consultation at the Andrology Center, Department of Urology, the Third Xiangya Hospital of Central South University between December 2023 and December 2024 were recruited to assess reliability and validity of the VIS.Results:The VIS comprises 11 items across three dimensions: "background" factors, "stance and behavior" factors and "information" factors. The scale demonstrated satisfactory internal consistency (Cronbach's α=0.739). Correlations between each dimension and the total scale ("background" factors r=0.849, "stance and behavior" factors r=0.744, "information" factors r=0.440) exceeded inter-dimension correlations (ranging from 0.145 to 0.312), confirming robust construct validity. The vasectomy rates among men with different intention levels were 65.7% (92/140) in the high-intention group, 28.9% (33/114) in the moderate-intention group, and 0% (0/11) in the low-intention group, with a statistically significant difference (χ2=43.42, P<0.001). Conclusion:The VIS exhibits strong reliability and validity, serving as a validated instrument for measuring the strength of men's vasectomy intentions.