Dry eye disease(DED)is a common ocular surface disorder worldwide, primarily characterized by a loss of homeostasis of the tear film, and frequently associated with meibomian gland dysfunction(MGD), decreased tear film stability, ocular discomfort, and visual impairment. In recent years, factors such as the widespread use of digital devices,the aging population, and environmental changes have contributed to a significant increase in its global prevalence, making it a major public health concern. Red light therapy(RLT), also known as low-level laser therapy(LLLT)or photobiomodulation(PBM), is a non-invasive treatment that utilizes low-energy red or near-infrared light to irradiate tissues. It exerts photobiomodulatory effects to promote cellular repair and functional recovery. This therapy has demonstrated considerable potential in treating various ocular conditions. Its broader clinical application could improve therapeutic outcomes, alleviate patient discomfort and financial burden, and reduce the consumption of healthcare resources, thereby yielding significant socio-economic benefits. This paper systematically reviews the multifaceted mechanisms and application prospects of RLT in managing DED, including its anti-inflammatory effects, improvement of meibomian gland function, promotion of conjunctival goblet cell repair, and alleviation of visual fatigue, aiming to provide a theoretical foundation and practical reference for its clinical adoption.

Objective:To evaluate the efficacy and safety of once-daily tacrolimus extended-release capsules (OD-TAC) in pediatric liver transplant recipients after conversion from twice-daily tacrolimus (TD-TAC).Methods:A retrospective analysis was performed on pediatric liver transplant recipients at Tianjin First Center Hospital between January 2014 and December 2020 who were converted from TD-TAC to OD-TAC with a follow-up of at least 12 months. After conversion, all patients received OD-TAC monotherapy. The daily dose conversion ratio from TD-TAC to OD-TAC ranged from 2∶1 to 1∶2. Clinical data including demographics, tacrolimus dosage, trough concentrations, liver function, and adverse events were collected. Continuous variables with normal distribution were expressed as Mean±SD and compared using independent-samples t-test or ANOVA; non-normally distributed variables were expressed as median ( Q1, Q3) and compared using Mann-Whitney U or Kruskal-Wallis H tests. Categorical variables were expressed as frequency and percentage, and compared using χ 2 test or Fisher's exact test. P<0.05 was considered statistically significant. Results:A total of 290 children were enrolled, including 140 males (48.3%) and 150 females (51.7%). The median age at transplantation was 7.34 (6.03, 12.34) months, and the median time to conversion was 36 (29, 48) months post-transplant. Tacrolimus daily doses at 3, 6, and 12 months after conversion were slightly higher than before conversion, but without statistical significance (all P>0.05). Trough tacrolimus levels at 6 and 12 months after conversion were 2.34±1.02 μg/L and 2.23±1.07 μg/L, respectively, both lower than pre-conversion (2.77±1.43 μg/L), with statistical significance ( P=0.02 and P<0.01). Serum creatinine levels at 6 and 12 months post-conversion were 2.63±0.63 mmol/L and 2.76±0.68 mmol/L, respectively, both higher than before conversion (2.57±1.90 mmol/L, P<0.05). Triglyceride level at 12 months post-conversion was 0.87±0.25 mmol/L, significantly lower than pre-conversion (1.05±0.55 mmol/L, P<0.05). Two patients developed transient bilirubin elevation at 3 months, and another two developed transient triglyceride elevation at 6 months; all recovered without intervention. No new-onset diabetes was observed during follow-up. Thirteen patients experienced acute rejection. One patient (0.3%) died three years after conversion due to hepatic venous outflow obstruction, while all others survived. Conclusion:In pediatric liver transplant recipients, OD-TAC provides comparable efficacy and safety to TD-TAC.

BACKGROUND:Adolescent lumbar disc herniation is the main cause of low back pain in adolescents. At present,most of them are treated by conservativetreatment. When long-term non-surgical treatment attempts,surgery may be necessary to prevent further injury when the patient's symptoms are notsufficiently relieved or when the patient has symptoms of single nerve paralysis or compression of the cauda equina,it is very important to choose a suitable interbody fusion device for the surgical treatment of the patients.OBJECTIVE:To explore the effects of minimally invasive interbody fusion with different heights on lumbar biomechanics in patients with adolescent lumbar disc herniation.METHODS:CT scans of a 17-year-old male patient with adolescent lumbar disc herniation (L4-5 segment herniation) were collected. After the three-dimensional reconstruction of MIMICS,the interbody fusion device equal to and 3 mm higher than the intervertebral space was selected for analysis,so two expandablemixed material interbody fusion devices were designed and reconstructed. Fusion device L:11 mm high front,9 mm high posterior,9 mm wide,28 mmlong,and fusion device H:14 mm high front,11 mm high posterior,11 mm wide,28 mm long and the lumbar fusion device was modeled. The fusion deviceand lumbar spine model were optimized,inversely modeled,and then imported into ABAQUS,and finally the 3D model of lumbar fusion was obtained.The physiological activities of the human body were simulated,such as lumbar extension,forward bending,right bending,and left bending,to obtain thecorresponding stress contours. The biomechanical characteristics of the L4-5 vertebra under seven different working conditions were observed.RESULTS AND CONCLUSION:(1) The maximum stress of the two kinds of fuses was in the condition of forward bending and backward extension,the stress value of H fuses was (18.27±3.80) Mpa and (15.02±3.24) Mpa;the stress value of L fuses was (9.16±0.05) Mpa and (9.17±1.83) Mpa. The stress values of the end plate of the H-fusion in the extension station were (19.11±4.03) Mpa and (16.32±3.72) Mpa respectively. The stress values of the L-fusion end plate were (9.13±0.01) Mpa and (4.92±1.01) Mpa respectively. (2) The stress of H-type fusing end plate was higher than that of L-type fusing end plate except for L-5 end plate at neutral position (P<0.05). (3) Choosing an interbody fusion device with a height of more than 3 mm in the same intervertebral space has a more stable biomechanics.

Objective To build an automatic segmentation model of temporomandibular joint(TMJ)based on magnetic resonance im-aging(MRI)using deep learning method.Methods The MRI data of TMJ of 104 subjects were collected,with the articular disc,con-dyle and glenoid fossa marked.The adaptive U-Net framework(nnU-Net)was used to construct a segmentation model,which was sub-jected to both quantitative and qualitative assessments.Results The segmentation model demonstrated excellent accuracy in segmenta-tion.In the segmentation of different joint structures,the model achieved Dice of 0.77 for the articular disc,0.85 for the condyle,and 0.66 for the glenoid fossa.The model showed similar segmentation performance when processing MRI images in both open-mouth and closed-mouth states.Conclusion This study developed an automatic segmentation model for TMJ MRI based on deep learning,which can assist clinicians in diagnosing anterior displacement of the TMJ disc.

Objective:To analyze the infection status and epidemiological characteristics of respiratory pathogens in children with acute respiratory infections (ARI) at Xuzhou Children′s Hospital Affiliated to Xuzhou Medical University from 2023 to 2024.Methods:This study enrolled the patients (aged 0-17 years) who visited the outpatient or emergency department or were hospitalized at Xuzhou Children′s Hospital Affiliated to Xuzhou Medical University due to ARI from March 2023 to March 2024. Throat swab specimens of the patients were collected, and fluorescence quantitative PCR was used to detect influenza A virus (FluA), influenza B virus (FluB), respiratory syncytial virus (RSV), human rhinovirus (HRV), human adenovirus (HAdV), and Myocoplasima pneumonia ( Mp). These patients were divided into five groups by gender: <1, 1-2, 3-5, 6-11, 12-17 years. Chi-square test was used to perform statistical analysis on the detection rates of respiratory pathogens among patients of different genders and ages, and across distinct seasons. Results:A total of 46 379 children were enrolled and among them, 27 418 children tested positive for respiratory pathogens, with a positive rate of 59.12%. Among the positive cases, 5 177 (18.88%) were infected with more than one respiratory pathogen, with the co-infection of Mp and HRV being the most common type, followed by Mp and HAdV co-infection. The pathogens, ranked from the highest to the lowest detection rates, were Mp (20.74%, 9 620/46 379), RSV (12.76%, 5 920/46 379), HAdV (11.64%, 5 399/46 379), HRV (11.24%, 5 213/46 379), FluB (8.23%, 3 815/46 379), and FluA (6.80%, 3 154/46 379). There were statistically significant differences in the detection rates of RSV, HRV and Mp among children of different genders (χ 2=11.85, 15.23, 16.36; all P<0.001). The differences in the detection rates of the six pathogens among different age groups were statistically significant (all P<0.001), and the detection rates of FluA, FluB, HRV, HAdV and Mp in children aged 0-5 years showed an upward trend with age (all P<0.001). The highest detection rates of FluA, FluB, HRV and HAdV were in the 3-5 years group, while the highest detection rate of Mp was in the 6-11 years group, which was 40.15% (4 615/11 495). The detection rate of RSV showed a decreasing trend with age ( P<0.001), with the highest detection rate observed in the <1 year group (25.02%, 2 208/8 826). There were statistically significant differences in the detection rates of the six pathogens in different seasons (all P<0.001). Conclusions:The overall detection rate of respiratory pathogens in children with ARI in Xuzhou from 2023 to 2024 is high. Single-pathogen infection is the predominant pattern, and the most prevalent pathogen is Mp. There are gender differences in the detection rates of RSV, HRV, and Mp. The detection rate of RSV decreases with age, while the detection rates of FluA, FluB, HRV, HAdV, and Mp increase with age among children aged 0-5 years. The prevalence of FluA, FluB, RSV, HRV, HAdV, and Mp all exhibit seasonal patterns.

Antibodies currently comprise the predominant treatment modality for a variety of diseases; therefore, optimizing their properties rapidly and efficiently is an indispensable step in antibody-based drug development. Inspired by the great success of artificial intelligence-based algorithms, especially deep learning-based methods in the field of biology, various computational methods have been introduced into antibody optimization to reduce costs and increase the success rate of lead candidate generation and optimization. Herein, we briefly review recent progress in deep learning-based antibody optimization, focusing on the available datasets and algorithm input data types that are crucial for constructing appropriate deep learning models. Furthermore, we discuss the current challenges and potential solutions for the future development of general-purpose deep learning algorithms in antibody optimization.
Deep Learning ; Humans ; Antibodies/chemistry* ; Algorithms ; Artificial Intelligence ; Drug Development

BackgroundCurrently， the problem of depressed mood in college students is becoming more prominent. The experience of childhood maltreatment is a significant contributor to depression among college students. Although the association between the two has been confirmed， the specific psychosocial mechanisms underlying how childhood maltreatment affects college students' mental health remain insufficiently evidenced. ObjectiveTo explore the mediating role of emotion regulation difficulties in the relationship between childhood maltreatment and depression among college students， and to investigate the moderated effects of psychological resilience and family socioeconomic status， aiming to provide references for improving depressive symptoms in college students. MethodsOn 14 March 2024， a cluster sampling method was employed to recruit 751 college students from a university in Heilongjiang Province. Participants were assessed with Childhood Trauma Questionnaire （CTQ）， Difficulties in Emotion Regulation Scale （DERS）， Patients' Health Questionnaire Depression Scale-9 item （PHQ-9）， 10-item Connor-Davidson Resilience Scale （CD-RISC-10） and Family Socioeconomic Status Questionnaire. Pearson correlation analysis was adopted to examine the correlation between the scores of scales. Model 4 and model 7 in Process 4.2 were used to test the mediating effects of emotional regulation difficulties and the moderated effects of psychological resilience and family socioeconomic status. Results① A total of 712 （94.81%） valid questionnaires were collected. ② College students' CTQ score was positively correlated with DERS score and PHQ-9 score （r=0.296， 0.507， P<0.01）， and negatively correlated with CD-RISC-10 score and Family Socioeconomic Status Questionnaire score （r=-0.148， -0.229， P<0.01）. ③ The indirect effect value of difficulties in emotion regulation on the relationship between childhood maltreatment and depression was 0.091 （95% CI： 0.018~0.046）， accounting for 17.95% of the total effect. ④ The first half of the mediation model "childhood maltreatment → difficulties in emotion regulation → depression" （childhood maltreatment → difficulties in emotion regulation） was moderated by psychological resilience （β=-0.030， t=-6.147， 95% CI： -0.040~-0.020） and family socioeconomic status （β=-0.051， t=-3.929， 95% CI： -0.077~-0.026）. ConclusionChildhood maltreatment exerts both a direct effect on college students' depression and an indirect effect through emotion regulation difficulties. The childhood maltreatment → emotion regulation difficulties pathway in this mediation model is moderated by psychological resilience and family socioeconomic status. ［Funded by Qiqihar Medical University Graduate Student Innovation Fund Project （number， QYYCX2023-48）； Special Research Fund Project for Young Doctors of Qiqihar Academy of Medical Sciences （number， QMSI2021B-08）］

γ-Aminobutyric acid(GABA),a pivotal inhibitory neurotransmitter in the central nervous system,plays an essential role in maintaining normal ocular physiological functions.GABA and its receptors are widely distributed through-out the retina,optic nerve,and visual pathways.Research indicates that GABA dysregulation is implicated in the pathogen-esis and progression of certain ophthalmic disorders.This article provides a comprehensive exploration of the relationship between GABA and ophthalmic diseases,including myopia,amblyopia,glaucoma,and dry eye syndrome.Moreover,the potential mechanisms and recent research advances are discussed.The findings may offer novel options and chances for the diagnosis and treatment of ophthalmic diseases.

Objective To elucidate the pharmacokinetic characteristics and primary metabolic pathways of anthocyanins in vivo,as well as the endogenous metabolites exhibiting sensitive responses to bilberry extract intervention in rats by LC-MS/MS technology,following oral administration of bilberry extract.Methods Multi-component pharmacokinetic technology was employed to study the systemic exposure characteristics of anthocyanins in blood,the metabolic product profile,and the dynamic concentration changes of anthocyanins and their metabolites in plasma after oral administration of bilberry extract to rats.Metabolomics technology was used to analyze changes in endogenous metabolites at the time point when most anthocyanins reached their peak plasma concentration.Results After administration of European cranberry extract,a total of 18 anthocyanin parent compounds and 14 metabolites were detected in rat plasma.Glucuronidation was identified as the primary metabolic pathway.The time to reach peak concentration(Tmax)for most parent compounds ranged from 15 to 60 minutes.Moreover,30 minutes after oral dosing with the cranberry extract,the levels of various endogenous acyl-carnitines,fatty acids,and lysophosphatidylcholines in the blood decreased.The plasma exposure of most anthocyanin components and their metabolites showed a highly linear correlation with the administered dose(R2>0.9).Conclusion This study clarified the main pharmacokinetic characteristics and metabolic pathways of anthocyanins from bilberry extract in rats,as well as the potential impact on various endogenous metabolites.It provides data support for effectively exploring the pharmacodynamic material basis and mechanism of action of bilberry extract.

Objective To build an automatic segmentation model of temporomandibular joint(TMJ)based on magnetic resonance im-aging(MRI)using deep learning method.Methods The MRI data of TMJ of 104 subjects were collected,with the articular disc,con-dyle and glenoid fossa marked.The adaptive U-Net framework(nnU-Net)was used to construct a segmentation model,which was sub-jected to both quantitative and qualitative assessments.Results The segmentation model demonstrated excellent accuracy in segmenta-tion.In the segmentation of different joint structures,the model achieved Dice of 0.77 for the articular disc,0.85 for the condyle,and 0.66 for the glenoid fossa.The model showed similar segmentation performance when processing MRI images in both open-mouth and closed-mouth states.Conclusion This study developed an automatic segmentation model for TMJ MRI based on deep learning,which can assist clinicians in diagnosing anterior displacement of the TMJ disc.