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.

ObjectiveTo explore the potential mechanism of Shenqi Jianxin Formula （参芪健心方） in the treatment of chronic heart failure （CHF） from the perspective of regulating mitochondrial autophagy via the PTEN-induced kinase 1 （PINK1）/E3 ubiquitin ligase （Parkin） pathway. MethodsMale SD rats were subjected to abdominal aortic constriction to establish the CHF model. Twenty-four successfully modeled rats were randomly divided into the model group， sacubitril/valsartan group， and low- and high-dose Shenqi Jianxin Formula groups， with 6 rats in each group. Six other rats were set as the sham surgery group， which were only separated the abdominal aorta and then closed the abdomen. Rats in the low-dose and high-dose Shenqi Jianxin Formula groups were given intragastric administration of Shenqi Jianxin Formula suspension at doses of 4.41 g/（kg·d） and 17.64 g/（kg·d）， respectively； the sacubitril/valsartan group received intragastric administration of sacubitril/valsartan sodium tablet suspension at 10 mg/（kg·d）； the sham surgery group and the model group were given normal saline at 10 ml/（kg·d） via intragastric gavage. The intervention lasted for 4 consecutive weeks. Cardiac function indices including left ventricular ejection fraction （LVEF） and left ventricular fractional shortening （LVFS） were detected， and serum brain natriuretic peptide （BNP） content was measured. HE staining and Masson staining were used to observe myocardial histopathological changes. Transmission electron microscopy was employed to examine the ultrastructure of cardiac tissues. Quantitative real-time polymerase chain reaction （Rt-qPCR） was performed to determine the mRNA expressions of PINK1/Parkin pathway-related factors and autophagy-associated proteins including Beclin-1， p62， and microtubule-associated protein 1 light chain 3 （LC3） in myocardial tissues. ResultsCompared with the sham surgery group， the model group showed significant decreases in LVEF and LVFS levels， an increase in serum BNP content， down-regulated mRNA and protein expressions of PINK1， Parkin and Beclin-1 in cardiac tissues， up-regulated mRNA and protein expressions of p62， as well as significant reductions in LC3B mRNA expression， phosphorylated PTEN-induced kinase 1 （p-PINK1） and phosphorylated E3 ubiquitin ligase （p-Parkin） protein levels， and the ratio of microtubule-associated protein 1 light chain 3-Ⅱ to microtubule-associated protein 1 light chain 3-Ⅰ （LC3Ⅱ/LC3Ⅰ） （P＜0.05）. Pathological results revealed obvious myocardial cell edema， necrosis and degeneration， increased disorder of myocardial fiber arrangement， extensive inflammatory cell infiltration， moderate to severe mitochondrial swelling， a few mitochondrial vacuolar changes， and no obvious autophagy in the field of vision in the model group. Compared with the model group， all the above indicators were significantly improved in the high-dose Shenqi Jianxin Formula group and the sacubitril/valsartan group （P＜0.05）. Moreover， the improvement of each index in the high-dose Shenqi Jianxin Formula group was superior to that in the low-dose group （P＜0.05）. In the high-dose Shenqi Jianxin Formula group， myocardial myofibrils were arranged regularly with orderly orientation， the striated structure was clear， and necrotic cells significantly reduced. ConclusionShenqi Jianxin Formula can activate the PINK1/Parkin signaling pathway in myocardial tissues， enhance mitochondrial autophagy， and clear dysfunctional mitochondria， thereby improving cardiac function and delaying the progression of CHF.

Colorectal cancer （CRC） is a prevalent malignant tumor of the digestive tract， with a high incidence and high mortality. The majority of patients are diagnosed at the middle or advanced stage， which severely influences and threatens their physical health. Current treatment modalities such as surgery， radiotherapy， and chemotherapy often encounter challenges including metastasis， recurrence， and drug resistance. The phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR） signaling pathway serves as a classical regulator that regulates physiological processes such as cell cycle， autophagy， apoptosis， and proliferation. Overexpression of this pathway is observed in various tumors. In the context of CRC， the activation of this pathway can facilitate the proliferation， invasion， and migration， inhibit the autophagy and apoptosis， promote the epithelial-mesenchymal transition of CRC cells， enhance angiogenesis within the tumor， and contribute to chemotherapy resistance and radiation resistance in CRC. Traditional Chinese medicine （TCM） treatment can exert an anti-CRC effect by inhibiting this pathway， thereby improving clinical efficacy and safety. This article retrieves relevant research literature published domestically and internationally regarding the regulation of the PI3K/Akt/mTOR signaling pathway by TCM in the treatment of CRC and conducts detailed classification and summary. The active components of TCM include glycosides， flavonoids， alkaloids， terpenoids， polyphenols， and naphthoquinones. The volatile oils and extracts of TCM include Angelicae Sinensis Radix volatile oil， Astragali Radix polysaccharides， Caryophylli Flos extract， Forsythiae Fructus extract， Curcumae Longae Rhizoma extract， and Celastrus orbiculatus extract. The compound formulas of TCM include Banxia Xiexin decoction， Jianpi Qingre Huoxue formula， and Chanling Plaster. Through summary and analysis， it is discovered that the abovementioned TCM can produce effects such as blocking the cell cycle， inducing autophagy and apoptosis， inhibiting angiogenesis， suppressing proliferation and migration， and reversing chemotherapy resistance and radiotherapy resistance by inhibiting the PI3K/Akt/mTOR pathway in CRC cells. TCM holds promise in the research and application of targeting the PI3K/Akt/mTOR signaling pathway for CRC treatment. The summary and conclusion of this article aim to provide references for subsequent research and the development of new drugs.

Colorectal cancer （CRC） is a prevalent malignant tumor of the digestive tract， with a high incidence and high mortality. The majority of patients are diagnosed at the middle or advanced stage， which severely influences and threatens their physical health. Current treatment modalities such as surgery， radiotherapy， and chemotherapy often encounter challenges including metastasis， recurrence， and drug resistance. The phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR） signaling pathway serves as a classical regulator that regulates physiological processes such as cell cycle， autophagy， apoptosis， and proliferation. Overexpression of this pathway is observed in various tumors. In the context of CRC， the activation of this pathway can facilitate the proliferation， invasion， and migration， inhibit the autophagy and apoptosis， promote the epithelial-mesenchymal transition of CRC cells， enhance angiogenesis within the tumor， and contribute to chemotherapy resistance and radiation resistance in CRC. Traditional Chinese medicine （TCM） treatment can exert an anti-CRC effect by inhibiting this pathway， thereby improving clinical efficacy and safety. This article retrieves relevant research literature published domestically and internationally regarding the regulation of the PI3K/Akt/mTOR signaling pathway by TCM in the treatment of CRC and conducts detailed classification and summary. The active components of TCM include glycosides， flavonoids， alkaloids， terpenoids， polyphenols， and naphthoquinones. The volatile oils and extracts of TCM include Angelicae Sinensis Radix volatile oil， Astragali Radix polysaccharides， Caryophylli Flos extract， Forsythiae Fructus extract， Curcumae Longae Rhizoma extract， and Celastrus orbiculatus extract. The compound formulas of TCM include Banxia Xiexin decoction， Jianpi Qingre Huoxue formula， and Chanling Plaster. Through summary and analysis， it is discovered that the abovementioned TCM can produce effects such as blocking the cell cycle， inducing autophagy and apoptosis， inhibiting angiogenesis， suppressing proliferation and migration， and reversing chemotherapy resistance and radiotherapy resistance by inhibiting the PI3K/Akt/mTOR pathway in CRC cells. TCM holds promise in the research and application of targeting the PI3K/Akt/mTOR signaling pathway for CRC treatment. The summary and conclusion of this article aim to provide references for subsequent research and the development of new drugs.

Objective: To evaluate the effects of a multidisciplinary weight management intervention, so as to provide a reference for the formulation of overweight and obesity intervention measures. Methods: From April to September 2025, overweight and obese residents aged 18-60 years who participated in a weight loss competition at the Health Management Center of Beilun People's Hospital in Ningbo City were selected as study subjects. They were divided into a control group and an intervention group. The control group received conventional weight management, while the intervention group received the multidisciplinary integrated weight management in addition to the conventional weight management, for a total intervention period of 8 weeks. Weight, body mass index (BMI), waist circumference, hip circumference, waist-to-hip ratio, fasting blood glucose (FBG), triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and blood pressure were collected before and after the intervention through physical examinations and laboratory tests. The generalized estimating equations (GEE) method was employed to analyze the differences in indicators between the two groups before and after the intervention. Results: The control group comprised 241 participants, including 161 females (66.80%), with a mean age of (35.66±7.80) years. The intervention group consisted of 127 participants, including 86 females (67.72%), with a mean age of (36.80±7.05) years. No statistically significant differences were observed between the two groups at baseline in terms of age, gender, weight, BMI, or waist-to-hip ratio (all P>0.05). Results from the GEE analysis indicated significant interactions between group and time for weight, BMI, waist circumference, and hip circumference (all P<0.05) with greater reductions in these parameters observed in the intervention group compared to the control group before and after the intervention. Similarly, significant interactions between group and time were observed for FBG, TG, TC, and LDL-C (all P<0.05), with the intervention group demonstrating larger decreases in these markers compared to the control group. However, no statistically significant interactions between group and time were observed for waist-to-hip ratio, HDL-C, systolic blood pressure, and diastolic blood pressure (all P>0.05). Following the intervention, a weight loss exceeding 10% was achieved by 13 participants (5.39%) in the control group and 62 participants (48.82%) in the intervention group. The proportion of individuals with a weight loss exceeding 10% was significantly higher in the intervention group compared to the control group (P<0.05). Conclusion Compared to conventional weight management, multidisciplinary integrated weight management demonstrated greater efficacy in improving weight-related indicators and blood glucose, blood lipids, and enhancing weight loss outcomes among overweight and obese residents.

BACKGROUND: The benefits of ideal cardiovascular-health metrics (ICVHMs) in patients with renal insufficiency remain unclear. This study aimed to investigate the associations between ICVHM and prognosis in a renal insufficiency population. METHODS: The trial enrolled 29,682 participants from the US National Health and Nutrition Examination Survey (NHANES), 2007-2018, with mortality follow-up through December 31, 2019. Participants were divided into three groups based on estimated glomerular filtration rates. Cardiovascular health was assessed using new "Life's Essential 8" metrics. Cox regression analyses based on NHANES data were used to determine the associations between ICVHMs and cardiovascular mortality in patients with renal insufficiency. RESULTS: During a mean follow-up of 6.58 years, ideal cardiovascular health (hazard ratio [HR] = 0.42; 95% confidence interval [CI]; 0.25-0.70) and ideal health behavior (HR = 0.53; 95% CI; 0.39-0.73) reduced cardiovascular mortality in participants with renal insufficiency. For each one ICVHM increment, a 25% reduction in cardiovascular mortality was recorded (95% CI; 0.69-0.82). When compared with participants with normal renal function, for those with mild renal insufficiency, the HR for cardiovascular mortality gradually decreased from 1.47 (95% CI; 0.85-2.52) in those who had ≤1 ICVHMs to 0.30 (95% CI; 0.12-0.77) in participants who had >6 ICVHMs. CONCLUSIONS From an ICVHM perspective, enhanced cardiovascular benefits were observed in individuals with renal insufficiency, coupled with a reduced risk of all-cause mortality. Furthermore, when compared with individuals with normal renal function, increased ICVHMs can mitigate adverse risks associated with renal impairment.
Humans ; Male ; Female ; Nutrition Surveys ; Middle Aged ; Renal Insufficiency/physiopathology* ; Aged ; Prognosis ; Adult ; Cardiovascular Diseases/mortality* ; Glomerular Filtration Rate/physiology* ; Proportional Hazards Models

The bidirectional closed-loop motor imagery brain-computer interface (MI-BCI) is an emerging method for active rehabilitation training of motor dysfunction, extensively tested in both laboratory and clinical settings. However, no standardized method for evaluating its rehabilitation efficacy has been established, and relevant literature remains limited. To facilitate the clinical translation of bidirectional closed-loop MI-BCI, this article first introduced its fundamental principles, reviewed the rehabilitation training cycle and methods for evaluating rehabilitation efficacy, and summarized approaches for evaluating system usability, user satisfaction and usage. Finally, the challenges associated with evaluating the rehabilitation efficacy of bidirectional closed-loop MI-BCI were discussed, aiming to promote its broader adoption and standardization in clinical practice.
Brain-Computer Interfaces ; Humans ; Imagination/physiology* ; Imagery, Psychotherapy/methods*

Protein structure determines function, and structural information is critical for predicting protein thermostability. This study proposes a novel method for protein thermostability prediction by integrating graph embedding features and network topological features. By constructing residue interaction networks (RINs) to characterize protein structures, we calculated network topological features and utilize deep neural networks (DNN) to mine inherent characteristics. Using DeepWalk and Node2vec algorithms, we obtained node embeddings and extracted graph embedding features through a TopN strategy combined with bidirectional long short-term memory (BiLSTM) networks. Additionally, we introduced the Doc2vec algorithm to replace the Word2vec module in graph embedding algorithms, generating graph embedding feature vector encodings. By employing an attention mechanism to fuse graph embedding features with network topological features, we constructed a high-precision prediction model, achieving 87.85% prediction accuracy on a bacterial protein dataset. Furthermore, we analyzed the differences in the contributions of network topological features in the model and the differences among various graph embedding methods, and found that the combination of DeepWalk features with Doc2vec and all topological features was crucial for the identification of thermostable proteins. This study provides a practical and effective new method for protein thermostability prediction, and at the same time offers theoretical guidance for exploring protein diversity, discovering new thermostable proteins, and the intelligent modification of mesophilic proteins.
Neural Networks, Computer ; Algorithms ; Protein Stability ; Proteins/chemistry* ; Protein Conformation ; Temperature

Investigating the correlation between micronucleus formation and male infertility has the potential to improve clinical diagnosis and deepen our understanding of pathological progression. Our study enrolled 2252 male patients whose semen was analyzed from March 2023 to July 2023. Their clinical data, including semen parameters and age, were also collected. Genetic analysis was used to determine whether the sex chromosome involved in male infertility was abnormal (including the increase, deletion, and translocation of the X and Y chromosomes), and subsequent semen analysis was conducted for clinical grouping purposes. The participants were categorized into five groups: normozoospermia, asthenozoospermia, oligozoospermia, oligoasthenozoospermia, and azoospermia. Patients were randomly selected for further study; 41 patients with normozoospermia were included in the control group and 117 patients with non-normozoospermia were included in the study group according to the proportions of all enrolled patients. Cytokinesis-block micronucleus (CBMN) screening was conducted through peripheral blood. Statistical analysis was used to determine the differences in micronuclei (MNi) among the groups and the relationships between MNi and clinical data. There was a significant increase in MNi in infertile men, including those with azoospermia, compared with normozoospermic patients, but there was no significant difference between the genetic and nongenetic groups in azoospermic men. The presence of MNi was associated with sperm concentration, progressive sperm motility, immotile spermatozoa, malformed spermatozoa, total sperm count, and total sperm motility. This study underscores the potential utility of MNi as a diagnostic tool and highlights the need for further research to elucidate the underlying mechanisms of male infertility.
Humans ; Male ; Infertility, Male/genetics* ; Adult ; Micronucleus Tests ; Semen Analysis ; Oligospermia/genetics* ; Azoospermia/genetics* ; Chromosome Aberrations ; Sperm Count ; Micronuclei, Chromosome-Defective ; Middle Aged

Artificial intelligence (AI) researchers and cheminformatics specialists strive to identify effective drug precursors while optimizing costs and accelerating development processes. Digital molecular representation plays a crucial role in achieving this objective by making molecules machine-readable, thereby enhancing the accuracy of molecular prediction tasks and facilitating evidence-based decision making. This study presents a comprehensive review of small molecular representations and AI-driven drug discovery downstream tasks utilizing these representations. The research methodology begins with the compilation of small molecule databases, followed by an analysis of fundamental molecular representations and the models that learn these representations from initial forms, capturing patterns and salient features across extensive chemical spaces. The study then examines various drug discovery downstream tasks, including drug-target interaction (DTI) prediction, drug-target affinity (DTA) prediction, drug property (DP) prediction, and drug generation, all based on learned representations. The analysis concludes by highlighting challenges and opportunities associated with machine learning (ML) methods for molecular representation and improving downstream task performance. Additionally, the representation of small molecules and AI-based downstream tasks demonstrates significant potential in identifying traditional Chinese medicine (TCM) medicinal substances and facilitating TCM target discovery.
Artificial Intelligence ; Drug Discovery/methods* ; Humans ; Machine Learning ; Medicine, Chinese Traditional ; Small Molecule Libraries/chemistry*