ObjectiveThe widespread adoption of portable fundus cameras for primary care and community screening is hindered by limitations in current autofocus(AF) technologies. Image-based methods relying on sharpness evaluation require iterative searches, resulting in slow convergence, while projection-based techniques are susceptible to optical artifacts and calibration errors. To address these challenges, this study introduces a novel AF system based on direct wavefront sensing, designed to deliver simultaneous high speed, high precision, and operational robustness within the compact form factor essential for portable ophthalmic devices. MethodsOur approach fundamentally reimagines the AF process by directly measuring the ocular wavefront aberration. We developed a custom portable fundus camera integrating a miniaturized Shack-Hartmann wavefront sensor (SHWS) into the optical path. An 850 nm laser diode projects a point source onto the retina via oblique illumination to minimize corneal reflections. Light scattered from this spot carries the eye’s refractive error through the imaging optics and is directed to the SHWS, positioned at a plane optically conjugate to the primary color CMOS imaging sensor. A microlens array within the SHWS samples the incident wavefront, generating a pattern of focal spots on a CCD. Real-time centroid analysis of these spots provides a map of local wavefront slopes. These measurements are processed through a singular value decomposition (SVD) algorithm to fit a Zernike polynomial basis set, enabling real-time reconstruction of the wavefront phase. The defocus component (S) is extracted from the second-order Zernike coefficients, providing a direct, quantitative measure of the refractive error in diopters. This value serves as a precise error signal in a closed-loop control system, which commands a voice-coil actuated focusing lens to its null position in a single, deterministic step, eliminating the need for iterative search algorithms. ResultsComprehensive evaluation demonstrated the system’s high performance. Testing on a calibrated model eye (OEMI-7) established a highly linear relationship between the computed defocus S and the focusing lens position across a ±20 Diopter (D) compensation range, achievable within a 5 mm mechanical travel. The system achieved a focusing precision of 0.08 D, corresponding to an 18-fold improvement over a conventional projection spot-size method tested under identical conditions. The total focus acquisition time, encompassing wavefront measurement, computation, and lens actuation, averaged under 0.5 s. Clinical validation with 25 human volunteers (50 eyes, refractive range -15 D to +10 D) confirmed practical efficacy. The wavefront-sensing AF succeeded in 92% of attempts with a mean time of 0.5 s, substantially outperforming a projection-based benchmark which achieved only a 32% success rate with an average time of 4.25 s. The system provided instantaneous directional guidance and maintained stability during minor ocular movements. Objective assessment of image quality, via amplitude contrast of retinal vasculature, showed consistent and significant enhancement following AF correction across the entire tested diopter range. ConclusionThis work successfully implements and validates a direct wavefront-sensing autofocus paradigm for portable fundus cameras. By directly quantifying and compensating for the optical defocus aberration, this method bypasses the fundamental limitations of image-processing and projection-based techniques, enabling rapid, precise, and deterministic diopter compensation. The developed system delivers an exceptional combination of a wide operational range (±20 D), high accuracy (0.08 D), fast convergence (0.5 s), and a compact physical footprint. This technology provides a practical and high-performance focusing solution capable of enhancing the reliability, throughput, and diagnostic utility of portable retinal imaging in large-scale screening applications. Future efforts will be directed towards system cost optimization and performance adaptation for diverse ocular conditions.

Background: Adrenocortical hormones, particularly 11-oxygenated androgens, are pivotal in female reproductive health and fertility. Standardized detection kits and population-specific reference intervals are lacking in China, hindering related clinical applications. Methods: A HPLC-tandem mass spectrometry (HPLC-MS/MS) pipeline was developed, rigorously validated, and applied to simultaneously quantify corticosterone, cortisone, cortisol, 18-OH cortisol, androstenedione (A4), 11β-hydroxyandrostenedione (11-OH A4), dehydroepiandrosterone, and dehydroepiandrosterone sulfate in serum samples from 455 reproductive-aged women (18–45 yrs) in Guangxi, China. Age-dependent concentration trends were analyzed, and reference intervals stratified by age (2.5th to 97.5th percentiles) were established. Correlations with body-composition metrics, ethnicity, and the menstrual cycle were investigated. Results: The HPLC-MS/MS method demonstrated high precision (intra- and inter-assay CVs < 15%), accuracy, and sensitivity. All eight hormones exhibited significant age-related declines (P < 0.001 for seven hormones; P = 0.001 for 11-OH A4). Notably, 11-OH A4 levels were significantly lower in the 35–45-yr (3.05 nmol/L) and 25–34-yr (3.09 nmol/L) age groups than in the 18–24-yr (3.57 nmol/L) age group, whereas no significant difference was observed between the 35–45-yr and 25–34-yr age groups. Weak negative correlations were observed between the body mass index and corticosterone and cortisone levels, whereas ethnicity and the menstrual cycle showed no significant associations with hormone levels. Conclusions We developed an HPLC-MS/MS-based method for simultaneously quantifying eight adrenocortical hormones, including 11-OH A4, and defined age-specific reference intervals for reproductive-aged Chinese women. These findings advance the clinical utility of adrenocortical hormones in diagnosing and managing reproductive disorders.

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 This study aimed to investigate the genetic diversity, differentiation, and population structure of Aedes albopictus across different geographical regions in Shandong Province, and to explore the relationship between genetic diversity and geographical distribution. Methods Between July and August 2024, ten Ae. albopictus populations were sampled from seven cities in Shandong Province. Genomic DNA was extracted from individual mosquitoes, and the mitochondrial cytochrome c oxidase subunit I(COⅠ)gene was amplified using PCR and sequenced. The obtained sequences were verified using BLAST and analyzed with MAFFT, MEGA 11, DnaSP v6.12, Arlequin 3.5, PopART 1.7, STRUCTURE 2.3.4 and the R packages adegenet and vegan to assess genetic diversity and population structure. Results A total of 229 COⅠ sequences(662 bp) was obtained, revealing ten variable sites with no insertions or deletions. The overall base composition showed an AT bias of 67.7%. Haplotype analysis identified 11 haplotypes, with Hap2 being the dominant and most widely distributed haplotype across all populations. Neutrality tests showed significant population expansion only in the Rizhao population. Mantel testing result revealed that geographical distance does not significantly impede gene flow. Overall, genetic differentiation among populations was low, indicating frequent gene flow. When combined with additional samples from Shanghai, Fujian, Guangdong, Yunnan, Hainan and Guangxi, STRUCTURE, UPGMA and DAPC analyses revealed two primary genetic clusters of Ae. albopictus. Conclusions Ae. albopictus populations in Shandong Province exhibit frequent gene flow, low genetic differentiation, and relatively low overall genetic diversity. However, the Rizhao population showed signs of recent expansion, highlighting the need for enhanced surveillance and targeted control measures in this area.

Preoperative localization of pulmonary small nodules can effectively improve the safety and success rate of video-assisted thoracoscopic surgery(VATS),but there are still controversies regarding the selection of relevant techniques.Interventional Oncology Committee of the Chinese Anti-Cancer Association organized domestic interventional radiology experts engaged in treatment of pulmonary malignancies,based on clinical experience and evidence-based medical evidence to formulate this Chinese expert consensus on preoperative auxiliary localization techniques for VATS of pulmonary small nodules.

Objective To explore the feasibility of endovascular intervention technology for constructing canine models of hepatic vein(HV)obstruction type Budd-Chiari syndrome(BCS).Methods HV obstruction type BCS models were established through double approaches including external jugular vein and percutaneous transhepatic vein puncture,blocking the main HV with double balloon and injecting anhydrous ethanol using 10 Beagle dogs.Laboratory indexes before and after modeling were compared.Liver ultrasound was performed 2,4 and 8 weeks after modeling,respectively,while intravascular ultrasound(IVUS)and digital subtracting angiography(DSA)were performed after the last time ultrasound to observe the obstruction degree,lumen and blood flow of left hepatic vein(LHV).The stenosis rate of LHV was evaluated based on DSA findings,and successful establishment of HV obstruction type BCS canine model was regarded as stenosis rate＞30%and incomplete occlusion of LHV,then the success rate of modeling was recorded.Results No significant difference of laboratory indexes was found before and after modeling(all P＞0.05).Ultrasound,IVUS and DSA showed that after modeling,different degrees of LHV stenosis complicated with intrahepatic collateral circulation were found in 9 dogs,while complete occlusion of LHV was noticed in 1 dog.The success rate of modeling was 90.00%(9/10).Pathological results showed the target HV lumen narrow with thickened endovascular wall,and the latter mainly composed of fibroblast and collagen fiber proliferation.Conclusion Endovascular intervention technology was feasible for constructing canine models of HV obstruction type BCS.

Objective To investigate the value of amide proton transfer(APT)imaging in evaluating lymph-vascular space inva-sion(LVSI)of cervical cancer.Methods A retrospective analysis was conducted on the data of cervical cancer patients with patho-logically confirmed LVSI status.Based on the presence of LVSI,the patients were divided into LVSI positive group and LVSI nega-tive group.All patients underwent diffusion weighted imaging(DWI)and APT imaging before treatment,and the apparent diffusion coefficient(ADC)and APT values of the lesions were measured.An independent sample t-test was used to compare the differences in ADC and APT values between the two groups.The sensitivity,specificity and area under the curve(AUC)of ADC,APT and ADC+APT in predicting LVSI were observed by receiver operating characteristic(ROC)curve,and the diagnostic performance of the three was compared by DeLong test.Results A total of 78 patients were included,of which 54 were LVSI negative and 24 were LVSI positive.The ADC values in the LVSI positive group were significantly lower than those in the LVSI negative group(P＜0.001),while the APT values in the LVSI positive group were significantly higher than those in the LVSI negative group(P＜0.001).The sensitivities of ADC,APT and ADC+APT in predicting LVSI were 79.17％,83.33％ and 87.50％,respectively,the specificities were 75.93％,55.56％ and 77.78％,respectively,and the AUC were 0.828,0.759 and 0.868,respectively,indicating that the diag-nostic performance of ADC+APT was better than that of ADC and APT alone(P＜0.001).Conclusion APT imaging can preop-eratively predict the presence of LVSI status in cervical cancer.When combined with ADC,its diagnostic accuracy is higher than that of APT alone,providing a new approach for evaluating LVSI in cervical cancer.

Objective To explore the feasibility of endovascular intervention technology for constructing canine models of hepatic vein(HV)obstruction type Budd-Chiari syndrome(BCS).Methods HV obstruction type BCS models were established through double approaches including external jugular vein and percutaneous transhepatic vein puncture,blocking the main HV with double balloon and injecting anhydrous ethanol using 10 Beagle dogs.Laboratory indexes before and after modeling were compared.Liver ultrasound was performed 2,4 and 8 weeks after modeling,respectively,while intravascular ultrasound(IVUS)and digital subtracting angiography(DSA)were performed after the last time ultrasound to observe the obstruction degree,lumen and blood flow of left hepatic vein(LHV).The stenosis rate of LHV was evaluated based on DSA findings,and successful establishment of HV obstruction type BCS canine model was regarded as stenosis rate＞30%and incomplete occlusion of LHV,then the success rate of modeling was recorded.Results No significant difference of laboratory indexes was found before and after modeling(all P＞0.05).Ultrasound,IVUS and DSA showed that after modeling,different degrees of LHV stenosis complicated with intrahepatic collateral circulation were found in 9 dogs,while complete occlusion of LHV was noticed in 1 dog.The success rate of modeling was 90.00%(9/10).Pathological results showed the target HV lumen narrow with thickened endovascular wall,and the latter mainly composed of fibroblast and collagen fiber proliferation.Conclusion Endovascular intervention technology was feasible for constructing canine models of HV obstruction type BCS.

Objective To investigate the value of amide proton transfer(APT)imaging in evaluating lymph-vascular space inva-sion(LVSI)of cervical cancer.Methods A retrospective analysis was conducted on the data of cervical cancer patients with patho-logically confirmed LVSI status.Based on the presence of LVSI,the patients were divided into LVSI positive group and LVSI nega-tive group.All patients underwent diffusion weighted imaging(DWI)and APT imaging before treatment,and the apparent diffusion coefficient(ADC)and APT values of the lesions were measured.An independent sample t-test was used to compare the differences in ADC and APT values between the two groups.The sensitivity,specificity and area under the curve(AUC)of ADC,APT and ADC+APT in predicting LVSI were observed by receiver operating characteristic(ROC)curve,and the diagnostic performance of the three was compared by DeLong test.Results A total of 78 patients were included,of which 54 were LVSI negative and 24 were LVSI positive.The ADC values in the LVSI positive group were significantly lower than those in the LVSI negative group(P＜0.001),while the APT values in the LVSI positive group were significantly higher than those in the LVSI negative group(P＜0.001).The sensitivities of ADC,APT and ADC+APT in predicting LVSI were 79.17％,83.33％ and 87.50％,respectively,the specificities were 75.93％,55.56％ and 77.78％,respectively,and the AUC were 0.828,0.759 and 0.868,respectively,indicating that the diag-nostic performance of ADC+APT was better than that of ADC and APT alone(P＜0.001).Conclusion APT imaging can preop-eratively predict the presence of LVSI status in cervical cancer.When combined with ADC,its diagnostic accuracy is higher than that of APT alone,providing a new approach for evaluating LVSI in cervical cancer.

Central nervous system(CNS)degenerative disorders refer to a spectrum of pathological alterations triggered by struc-tural damage to cerebral neural tissues,clinically manifested as diverse neurological dysfunction syndromes,including multiple sclerosis(MS),neurodegenerative diseases(NDs),and ische-mic stroke.The hallmark pathological features of these disorders involve irreversible neuronal damage and decompensation of functional neural networks,ultimately leading to progressive neurological deficits.Notably,with the accelerating global popu-lation aging,the incidence of these diseases has surged signifi-cantly.According to WHO statistics,they now rank among the top three global causes of disability and mortality.Current re-search has confirmed that the pathogenesis of CNS degenerative disorders exhibits high heterogeneity,encompassing multifaceted pathophysiological processes such as genetic predisposition,oxi-dative stress,protein misfolding,and metabolic dysregulation.This intricate pathogenic network not only complicates clinical differential diagnosis but also poses substantial challenges to the development of precision therapeutic strategies.Importantly,re-cent studies have revealed that mitochondrial homeostasis disrup-tion-induced inflammatory cascades(termed mitochondrial in-flammation)play a pivotal regulatory role in neurodegenerative progression.Key molecular mechanisms include impaired mito-phagy,aberrant mitochondrial DNA(mtDNA)release and NL-RP3 inflammasome activation.This review systematically deci-phers the molecular regulatory network of mitochondrial inflam-mation,with a focus on its biological effects in critical pathologi-cal events such as blood-brain barrier disruption,microglial hy-peractivation and neuronal apoptosis.The overarching aim is to provide a theoretical foundation for developing innovative thera-peutic strategies targeting mitochondrial homeostasis restoration.