1.Compact Fundus Imaging System Using Shack-Hartmann Wavefront Sensing for High-speed Auto-focus
Zhe-Kai LIN ; Long CHEN ; Geng-Yong ZHENG ; Jin-Tian HUANG ; Jia-Xin DONG ; Shang-Pan YANG ; Wen-Zheng DING ; Ding-An HAN ; Xue-Hua WANG ; Ya-Guang ZENG
Progress in Biochemistry and Biophysics 2026;53(4):1076-1086
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.
2.Improvement effects and mechanism of Achyranthes bidentata total saponins extract on vascular endothelial dysfunction in spontaneously hypertensive rats
Ruifeng LIANG ; Wenjing GE ; Xiaobo KOU ; Ping TIAN ; Hongzhi AN ; Zheng WEI ; Mingli ZHANG
China Pharmacy 2026;37(3):331-337
OBJECTIVE To investigate the improvement effects and mechanism of Achyranthes bidentata total saponins (ABS) extract on vascular endothelial dysfunction in spontaneously hypertensive rat (SHR) based on cytochrome P450 4A (CYP4A)/20-hydroxyeicosatetetraenoic acid (20-HETE)/G protein-coupled receptor 75 (GPR75) axis. METHODS Ten Wistar- Kyoto rats were taken as the normal control group. Forty SHR were first stratified by systolic blood pressure and then, within each stratum, randomly assigned using a random-number table to the model group (MOD group), captopril positive control group (CAP group, 10 mg/kg), ABS low- and high-dose extract groups (ABS-L group, ABS-H group, 60 and 120 mg/kg), with 10 rats in each group. Animals in each group were given the corresponding drug or equal volume of pure water by gavage, once a day, for 28 consecutive days. After the last administration, systolic blood pressure of rats was measured. The levels of vasoactive substances, inflammatory factors and oxidative stress indicators in serum were measured. The pathological changes of rat thoracic aorta were observed. The level of reactive oxygen species (ROS) in aortic tissue was analyzed. The expressions of endothelial nitric oxide synthase (eNOS), CYP4A, GPR75, nuclear factor-κB p65 (NF-κB p65), phosphorylated NF-κB p65, p22phox, and reduced nicotinamide adenine dinucleotide phosphate oxidase 4(NOX4) in thoracic aorta tissue were detected. RESULTS After 28 d of treatment, compared with MOD group, the systolic blood pressure of rats in the ABS-L and ABS-H groups decreased significantly. The levels of 20-HETE, angiotensin Ⅱ, interleukin-1β, interleukin-6, tumor necrosis factor-α, intercellular cell adhesion molecule-1 and malondialdehyde in serum were significantly reduced (P<0.05 or P<0.01), while the levels of nitric oxide, superoxide dismutase, glutathione peroxidase and catalase were significantly increased (P<0.05 or P<0.01). Intimal damage of thoracic aorta was reduced, and endothelial cell morphology was improved. The expressions of ROS, CYP4A, GPR75, p22phox, NOX4 and the phosphorylation level of NF-κB p65 protein in thoracic aorta were down-regulated or reduced (P<0.05 or P<0.01), while the expression of eNOS was up-regulated (P<0.05 or P<0.01). CONCLUSIONS ABS extract may alleviate the inflammatory response and oxidative stress in SHR effectively by down-regulating the expression of CYP4A, reducing the production of 20-HETE, inhibiting the activation of GPR75, and subsequently suppressing the activation of downstream NF-κB and NOX4, thereby improving hypertension-related vascular endothelial dysfunction.
3.Standardization Challenges in Outcome Evaluation Systems of Animal Experiments and Considerations for Core Outcome Set Construction Strategies
Qingyong ZHENG ; Yongjia ZHOU ; Tengfei LI ; Jianguo XU ; Chen TIAN ; Hui LIU ; Min TIAN ; Ziyu ZHOU ; Caihua XU ; Yating CUI ; Junfei WANG ; Jinhui TIAN
Laboratory Animal and Comparative Medicine 2026;46(1):138-148
Animal experimentation constitutes a critical link between basic research and clinical application, making its research quality and translational efficiency paramount. Although considerable progress has been made in standardizing operational procedures and ethical guidelines, the standardization of outcome evaluation systems has significantly lagged, creating a key bottleneck that constrains the quality of biomedical research and evidence synthesis. This deficiency is manifested by pronounced heterogeneity in outcome selection across similar studies, incomplete methodological reporting, and disparate criteria for result interpretation, which severely impairs the comparability of findings and the evidence integration. To cope with this challenge, this paper systematically introduces a mature methodological tool from clinical research–the core outcome set (COS)–and explores its construction strategies and application potential in the field of animal experimentation. Given the extensive diversity of animal experiments, a pragmatic strategy of "focusing on key areas, implementing phased pilots, and promoting gradual expansion" should be adopted. This approach prioritizes the development of domain-specific COS for disease areas characterized by high research volume, urgent translational needs, and well-established animal models. A multi-source integration pathway for COS development is detailed, comprising systematic literature searches, methodological appraisals, and expert consensus, with the feasibility of leveraging artificial intelligence (AI) to enhance efficiency also being examined. The development and promotion of such COS are not intended to restrict scientific exploration; rather, they aim to establish a new, tiered evaluation paradigm consisting of "core outcomes" (mandatory), "recommended outcomes" (encouraged), and "exploratory outcomes" (optional). This framework is expected not only to enhance research quality through standardization and to adhere to the "3R" principles but also to accelerate the accumulation of high-quality evidence. This, in turn, provides a solid foundation for higher-level evidence synthesis, ultimately facilitating the effective translation of basic research findings into clinical practice and providing an essential methodological framework for scientific advancement in relevant disciplines.
4.Current application status of stem cell therapy in the field of lung transplantation
Mingyu GU ; Xiangyun ZHENG ; Ji’er MA ; Xiaohan JIN ; Zhiqiang DENG ; Haoji YAN ; Dong TIAN
Organ Transplantation 2026;17(2):311-318
In recent years, research on stem cell therapy in the field of lung transplantation has gradually increased, demonstrating its potential in improving the outcomes of lung transplantation. As a treatment option for end-stage lung diseases, lung transplantation faces challenges such as scarcity of donor organs, postoperative complications and rejection. Stem cells, with their self-renewal and multi-directional differentiation capabilities, have emerged as strong candidates for alternative or adjunctive treatments. Current studies show that embryonic stem cells and umbilical cord mesenchymal stem cells play significant roles in lung tissue regeneration and immune regulation. However, stem cell therapy still needs to overcome issues such as the selection of cell sources, low survival rates after transplantation and unclear long-term efficacy in clinical applications. Future research should focus on exploring new stem cell sources, improving transplantation techniques and establishing efficacy evaluation systems.
5.Investigation on the microclimate of primary and secondary school classrooms in five provinces and municipalities of China in winter
Chinese Journal of School Health 2026;47(2):158-162
Objective:
To understand the microclimate in primary and secondary school classrooms for the study period during the winter heating season, so as to provide a reference for the revision and improvement of relevant health standards.
Methods:
In December 2024, stratified random sampling was used to select 30 primary and secondary schools and 180 classrooms from the northern regions with centralized heating (Liaoning Province, Tianjin City) and the southern regions without centralized heating (Shanghai City, Anhui Province, and Jiangxi Province). Indoor temperature, relative humidity, wind speed, CO 2 and other indicators were measured on site. Variance analysis, t-test, Mann-Whitney U test and Kruskal-Wallis H test were used to analyze the differences in the microclimate of classrooms among regions and urban and rural differences.
Results:
The average temperature in the middle of the classrooms tested on site was (16.47±4.72)℃, and the variance analysis showed that the difference between the regions was statistically significant ( F=27.80, P <0.01). Among them, Tianjin had the highest average temperature of (20.43± 2.12 )℃, followed by Liaoning (19.03±2.23)℃, Shanghai (15.33±5.32)℃, Anhui (12.79±1.74)℃, and Jiangxi (11.69± 1.68 )℃. Horizontal temperature difference was 0.90 (0.50, 1.60)℃, the vertical temperature difference was 0.20 (0.10,0.60)℃, the average relative humidity was (44.39±16.16)%, the wind speed was 0.03(0.01,0.11)m/s, and the differences among different provinces and cities were statistically significant ( H/F =40.62, 82.69, 95.06, 55.28, all P <0.01). The average CO 2 volume concentration in urban areas of Tianjin, Liaoning, and Shanghai was 0.21(0.16,0.30)%, and there was no statistically significant difference ( H=4.65, P =0.10). There were grade differences in relative humidity ( F =3.71, 6.21) and CO 2 ( H =14.72, 12.92) in the north and the south (all P <0.05). In addition, the temperature, relative humidity, wind speed and CO 2 in the middle of the classroom were 42.8%, 67.8%, 100.0% and 22.2% respectively.
Conclusions
The temperature in the middle of the classroom in the non centralized heating area is lower than the standard, the relative humidity of classroom in the centralized heating area is lower than the standard,and the CO 2 in the classroom in winter is lower than the standard. It is recommended to install heating facilities in schools with low temperatures to increase the temperature and increase the frequency of ventilation in classrooms or adopt mechanical ventilation strategies to reduce CO 2 volume concentration.
6.Prevalence and associated factors of work-related musculoskeletal disorders among workers in a manganese enterprise
Tianzi SHAN ; Junxiang MA ; Tian CHEN ; Kang NONG ; Yucheng SUN ; Xueting WANG ; Gaoman ZHANG ; Teng MA ; Zhuoran XIA ; Fengtao CUI ; Li CHEN ; Yanyan ZHENG ; Piye NIU
Journal of Environmental and Occupational Medicine 2026;43(3):333-340
Background Work-related musculoskeletal disorders (WMSDs) are a major occupational health concern, particularly among workers exposed to adverse ergonomic conditions. Manganese production involves heavy physical demands, yet research on WMSDs among manganese workers remains limited. Objective To investigate the prevalence and influencing factors of WMSDs among manganese workers in a manganese enterprise in Guangxi. Methods A cross-sectional survey was conducted from May to June 2024 on workers at a manganese factory in Guangxi. The Chinese Musculoskeletal Disorders Questionnaire was used to collect information on demographic characteristics, distribution of musculoskeletal symptoms, and work-related exposures. χ2 test was applied to compare differences in positive WMSDs rates across groups, and logistic regression analysis was performed to identify associated factors. Results A total of 1476 workers were enrolled in the study after pre-determined inclusion and exclusion criteria. The overall prevalence of WMSDs was 34.15%. The most commonly affected body regions were the lower back (17.28%), neck (16.67%), and shoulders (13.82%). The results of logistic regression analysis indicated that female, older age, and education level of college or above were associated with a higher risk of WMSDs (P<0.05). Awkward working postures were significantly associated with WMSDs in corresponding body regions; in particular, awkward postures of the neck, upper limbs, trunk, and lower limbs were related to an increased risk of WMSDs in multiple body sites (P<0.05). In addition, poor lighting conditions, high workplace temperature, frequent or sustained arm support during work, and high job demands were associated with an increased risk of overall or site-specific WMSDs (P<0.05). Conclusion The high prevalence of WMSDs among manganese workers is closely associated with demographic characteristics, working postures, and work environment and organizational factors. Targeted ergonomic interventions focusing on high-risk body regions and key ergonomic exposures are warranted to reduce the risk of WMSDs among manganese workers.
7.Analysis of serological and molecular genetic characteristics of a Chinese pedigree with a B(A)06 subtype.
Dongdong TIAN ; Ding ZHAO ; Wei LI ; Zhihao LI ; Jiali YANG ; Yongfang ZHANG ; Liuchuang ZHENG
Chinese Journal of Medical Genetics 2026;43(3):220-227
OBJECTIVE:
To explore the serological and molecular genetic characteristics of a family with subtype B(A)06.
METHODS:
A neonatal hyperbilirubinemia patient who was treated at Henan Children's Hospital on June 15, 2023 due to "yellowing of the skin and gradual aggravation", and was found to have inconsistent ABO forward and reverse typing through blood type testing, was selected as the research subject. Six milliliters of peripheral blood were collected from the newborn and her family members (grandfather, grandmother, father, mother and aunt) respectively. ABO blood group identification was performed by the blood group serological method. Human genomic DNA was extracted using the nucleic acid extraction or purification reagent BT-01. ABO gene exons 2 to 7 were amplified by PCR. The PCR-specific products that were successfully amplified were sequenced by Sanger method. Taking ABO*A1.01 as the reference sequence, the ABO gene sequences of the newborn and her family members were analyzed to determine the ABO genotype. The procedures followed in this study were approved by the Ethics Committee of Henan Children's Hospital (Ethics No.: 2022-K-L036).
RESULTS:
The serological results of ABO blood group showed that the newborn, her grandfather, father and aunt were all incompatible with the forward and reverse typing. The blood group phenotype of the newborn was AwB or B(A), the blood group phenotype of the grandfather was A2B or B(A), the blood group phenotype of the father and aunt were A2B, and the blood group phenotype of the grandmother and mother were both O. The screening test results of hemolytic disease of the newborn showed that the free test detected IgG anti-A1 antibody, while the elution test, direct antiglobulin test and antibody screening results were all negative. The Sanger sequencing results showed that the newborn had variations of c.261delG, c.297A>G, c.526C>G, c.657C>T, c.703G>A, c.796C>A and c.930G>A. Her grandfather had variations of c.297A>G, C.526C>G, c.657C>T, c.703G>A, c.796C>A, c.803G>C and c.930G>A. Her grandmother had variations of c.106G>T, c.188G>A, c.189C>T, c.220C>T, c.261delG, c.297A>G, c.646T>A, c.681G>A, c.771C>T and c.829G>A. Her father and aunt had variations of c.106G>T, c.188G>A, c.189C>T, c.220C>T, c.261delG, c.297A>G, c.526C>G, c.646T>A, c.657C>T, c.681G>A, c.703G>A, c.771C>T, c.796C>A, c.829G>A and c.930G>A. Her mother had variations of c.106G>T, c.188G>A, c.189C>T, c.220C>T, c.261delG, c.297A>G, c.646T>A, c.681G>A, c.771C>T, and c.829G>A.The genotype of the newborn was ABO*BA.06/ABO*O.01.01, her grandfather was ABO*BA.06/ABO*B.01, her grandmother was ABO*O.01.02/ABO*O.01.02, her father and aunt were ABO*BA.06/ABO*O.01.02, and her mother was ABO*O.01.01/ABO*O.01.02. The ABO*BA.06 allele of the newborn, grandfather, father and aunt was caused by the c.803C>G variation in exon 7 based on the ABO*B.01 allele. The ABO*BA.06 allele can be stably inherited in this family.
CONCLUSION
The blood type of neonatal patients with B(A)06 subtype can be accurately determined by gene sequencing technology. If the forward typing is ≤ 3+ agglutination intensity in newborn ABO blood group identification, the reason should be carefully analyzed, and the molecular biology technology and family gene sequencing results should be used to jointly determine if necessary.
Humans
;
ABO Blood-Group System/genetics*
;
Female
;
Pedigree
;
Male
;
Infant, Newborn
;
Asian People/genetics*
;
Genotype
;
China
;
Blood Grouping and Crossmatching
;
Hyperbilirubinemia, Neonatal/blood*
;
East Asian People
8.Neuroplasticity Mechanisms of Exercise-induced Brain Protection
Li-Juan HOU ; Lan-Qun MAO ; Wei CHEN ; Ke LI ; Xu-Dong ZHAO ; Yin-Hao WANG ; Zi-Zheng YANG ; Tian-He WEI
Progress in Biochemistry and Biophysics 2025;52(6):1435-1452
Neuroscience is a significant frontier discipline within the natural sciences and has become an important interdisciplinary frontier scientific field. Brain is one of the most complex organs in the human body, and its structural and functional analysis is considered the “ultimate frontier” of human self-awareness and exploration of nature. Driven by the strategic layout of “China Brain Project”, Chinese scientists have conducted systematic research focusing on “understanding the brain, simulating the brain, and protecting the brain”. They have made breakthrough progress in areas such as the principles of brain cognition, mechanisms and interventions for brain diseases, brain-like computation, and applications of brain-machine intelligence technology, aiming to enhance brain health through biomedical technology and improve the quality of human life. Due to limited understanding and comprehension of neuroscience, there are still many important unresolved issues in the field of neuroscience, resulting in a lack of effective measures to prevent and protect brain health. Therefore, in addition to actively developing new generation drugs, exploring non pharmacological treatment strategies with better health benefits and higher safety is particularly important. Epidemiological data shows that, exercise is not only an indispensable part of daily life but also an important non-pharmacological approach for protecting brain health and preventing neurodegenerative diseases, forming an emerging research field known as motor neuroscience. Basic research in motor neuroscience primarily focuses on analyzing the dynamic coding mechanisms of neural circuits involved in motor control, breakthroughs in motor neuroscience research depend on the construction of dynamic monitoring systems across temporal and spatial scales. Therefore, high spatiotemporal resolution detection of movement processes and movement-induced changes in brain structure and neural activity signals is an important technical foundation for conducting motor neuroscience research and has developed a set of tools based on traditional neuroscience methods combined with novel motor behavior decoding technologies, providing an innovative technical platform for motor neuroscience research. The protective effect of exercise in neurodegenerative diseases provides broad application prospects for its clinical translation. Applied research in motor neuroscience centers on deciphering the regulatory networks of neuroprotective molecules mediated by exercise. From the perspectives of exercise promoting neurogenesis and regeneration, enhancing synaptic plasticity, modulating neuronal functional activity, and remodeling the molecular homeostasis of the neuronal microenvironment, it aims to improve cognitive function and reduce the incidence of Parkinson’s disease and Alzheimer’s disease. This has also advanced research into the molecular regulatory networks mediating exercise-induced neuroprotection and facilitated the clinical application and promotion of exercise rehabilitation strategies. Multidimensional analysis of exercise-regulated neural plasticity is the theoretical basis for elucidating the brain-protective mechanisms mediated by exercise and developing intervention strategies for neurological diseases. Thus,real-time analysis of different neural signals during active exercise is needed to study the health effects of exercise throughout the entire life cycle and enhance lifelong sports awareness. Therefore, this article will systematically summarize the innovative technological developments in motor neuroscience research, review the mechanisms of neural plasticity that exercise utilizes to protect the brain, and explore the role of exercise in the prevention and treatment of major neurodegenerative diseases. This aims to provide new ideas for future theoretical innovations and clinical applications in the field of exercise-induced brain protection.
9.Research on the chemical compositions and their biological activities of Piper nigrum L.
Xing GAO ; Fengping ZHAO ; Wentao WANG ; Wei TIAN ; Canhui ZHENG ; Xin CHEN
Journal of Pharmaceutical Practice and Service 2025;43(7):313-319
Piper nigrum L. is an evergreen climbing vine, which belongs to the genus Piperia in the Piperaceae family. Piper nigrum L., which known as the “king of spices”, is used as both food and medicine. The main active substances in Piper nigrum L. are alkaloids mainly composed of amides, and essential oil, as well as phenolic compounds. In this paper, the chemical compositions, especially amide alkaloids, and their biological activities of Piper nigrum L. were summarized. These studies showed that Piper nigrum L., as a medicinal and food plant, had a wide range of biological activities and was deserved further research and in-depth utilization.
10.T5MHCII: deep learning-based model for MHC-II peptide binding affinity prediction
Zheng GAO ; Xiangdong GAO ; Wenbing YAO ; Hong TIAN
Journal of China Pharmaceutical University 2025;56(3):368-375
To address the current issue of low performance in predicting the binding affinity between antigenic peptides and specific MHC class II molecules, which fails to meet clinical requirements, we proposed T5MHCII, a deep learning-based prediction model for the affinity of MHC II class molecules to peptides. The model employed the knowledge previously acquired from the protein language model ProtT5 to extract the amino acid sequences via a transfer learning approach, thereby generating high-quality characterizations. This knowledge was then integrated with the robust learning abilities of deep learning to develop a novel model with enhanced predictive capabilities. The results of the five-fold cross-validation demonstrated that the model exhibited superior performance compared to NetMHCIIpan-3.2, PUFFIN, DeepMHCII, and RPEMH, with an AUC of 0.893±0.003 and a PCC of 0.780±0.006. The leave-one-out cross-validation (LOOCV) further demonstrated that the model exhibited enhanced generalization capabilities. This study proposes a novel approach to enhance the precision of peptide-MHCII prediction in the context of limited data affinity through the application of deep learning techniques.


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