AIM:To evaluate the efficacy of intravitreal ranibizumab injection(IVR)combined with subthreshold micropulse(STMP)in the treatment of diabetic macular edema(DME).METHODS: Retrospective study. A total of 98 DME patients(98 eyes)admitted to our hospital from March 2022 to March 2023 were enrolled and divided into two groups based on treatment methods: the control group(49 eyes)received STMP yellow laser therapy alone, while the study group(49 eyes)underwent combined IVR and STMP yellow laser therapy. Comparisons were made between the two groups regarding best corrected visual acuity(BCVA), retinal neovascularization(RNV)leakage area, parafoveal macular thickness(PMT), foveal macular thickness(FMT), central retinal thickness(CRT), and foveal avascular zone(FAZ)area, quality of life was assessed using the Chinese-version low vision quality of life questionnaire(CLVQOL), and complication rates were recorded. Additionally, serum levels of nitric oxide synthase(NOS)and vascular endothelial growth factor(VEGF)were measured before and after treatment in both groups.RESULTS: At 3 mo after treatment, both groups showed improved BCVA compared to baseline, with reduced RNV leakage area, PMT, FMT, CRT, FAZ, and serum levels of VEGF, while serum NOS levels and all CLVQOL domain scores were higher than pre-treatment(all P<0.05). Furthermore, the study group demonstrated superior outcomes in all these parameters compared to the control group(all P<0.05), and no ocular or systemic complications occurred in any patient.CONCLUSION: IVR combined with STMP yellow laser for DME improves visual acuity, reduces RNV leakage area, PMT, FMT, CRT, and FAZ, modulates serum NOS and VEGF levels, enhances quality of life, and demonstrates good safety.

Natural product-based drug combinations (NPDCs) present distinctive advantages in treating complex diseases. While high-throughput screening (HTS) and conventional computational methods have partially accelerated synergistic drug combination discovery, their applications remain constrained by experimental data fragmentation, high costs, and extensive combinatorial space. Recent developments in artificial intelligence (AI), encompassing traditional machine learning and deep learning algorithms, have been extensively applied in NPDC identification. Through the integration of multi-source heterogeneous data and autonomous feature extraction, prediction accuracy has markedly improved, offering a robust technical approach for novel NPDC discovery. This review comprehensively examines recent advances in AI-driven NPDC prediction, presents relevant data resources and algorithmic frameworks, and evaluates current limitations and future prospects. AI methodologies are anticipated to substantially expedite NPDC discovery and inform experimental validation.
Artificial Intelligence ; Biological Products/chemistry* ; Humans ; Drug Combinations ; Drug Discovery/methods* ; Machine Learning ; Algorithms

The translocator protein (TSPO) positron emission tomography (PET) can noninvasively detect neuroinflammation associated with epileptogenesis and epilepsy. This study explored the role of the TSPO-targeting radioligand [¹⁸F]F-TFQC, an m-trifluoromethyl ER176 analog, in the PET neuroimaging of epileptic rats. Initially, [¹⁸F]F-TFQC was synthesized with a radiochemical yield of 8%-10% (EOS), a radiochemical purity of over 99%, and a specific activity of 38.21 ± 1.73 MBq/nmol (EOS). After determining that [¹⁸F]F-TFQC exhibited good biochemical properties, [¹⁸F]F-TFQC PET neuroimaging was performed in epileptic rats at multiple time points in various stages of disease progression. PET imaging showed specific [¹⁸F]F-TFQC uptake in the right hippocampus (KA-injected site, i.e., epileptogenic zone), which was most pronounced at 1 week (T/NT 1.63 ± 0.21) and 1 month (T/NT 1.66 ± 0.20). The PET results were further validated using autoradiography and pathological analysis. Thus, [¹⁸F]F-TFQC can reflect the TSPO levels and localize the epileptogenic zone, thereby offering the potential for monitoring neuroinflammation and guiding anti-inflammatory treatment in patients with epilepsy.

Hypertrophic scar is a fibrous hyperplastic disorder that arises from skin injuries. The current therapeutic modalities are constrained by the dense and rigid scar tissue which impedes effective drug delivery. Additionally, insufficient autophagic activity in fibroblasts hinders their apoptosis, leading to excessive matrix deposition. Here, we developed an active microneedle (MN) system to overcome these challenges by integrating micromotor-driven drug delivery with autophagy regulation to remodel the scar microenvironment. Specifically, sodium bicarbonate and citric acid were introduced into the MNs as a built-in engine to generate CO₂ bubbles, thereby enabling enhanced lateral and vertical drug diffusion into dense scar tissue. The system concurrently encapsulated curcumin (Cur), an autophagy activator, and triamcinolone acetonide (TA), synergistically inducing fibroblast apoptosis by upregulating autophagic activity. In vitro studies demonstrated that active MNs achieved efficient drug penetration within isolated scar tissue. The rabbit hypertrophic scar model revealed that TA-Cur MNs significantly reduced the scar elevation index, suppressed collagen I and transforming growth factor-β1 (TGF-β1) expression, and elevated LC3 protein levels. These findings highlight the potential of the active MN system as an efficacious platform for autonomous augmented drug delivery and autophagy-targeted therapy in fibrotic disorder treatments.

Advancements in artificial intelligence (AI) and emerging technologies are rapidly expanding the exploration of chemical space, facilitating innovative drug discovery. However, the transformation of novel compounds into safe and effective drugs remains a lengthy, high-risk, and costly process. Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development. Despite this need, no comprehensive tool currently supports systematic evaluation and efficient screening. Here, we present druglikeFilter, a deep learning-based framework designed to assess drug-likeness across four critical dimensions: 1) physicochemical rule evaluated by systematic determination, 2) toxicity alert investigated from multiple perspectives, 3) binding affinity measured by dual-path analysis, and 4) compound synthesizability assessed by retro-route prediction. By enabling automated, multidimensional filtering of compound libraries, druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates, which can be freely accessed at https://idrblab.org/drugfilter/.

Drug development encompasses multiple processes, wherein protein subcellular localization is essential. It promotes target identification, treatment development, and the design of drug delivery systems. In this research, a deep learning framework called LocPro is presented for predicting protein subcellular localization. Specifically, LocPro is unique in (a) combining protein representations from the pre-trained large language model (LLM) ESM2 and the expert-driven tool PROFEAT, (b) implementing a hybrid deep neural network architecture that integrates convolutional neural network (CNN), fully connected (FC) layer, and bidirectional long short-term memory (BiLSTM) blocks, and (c) developing a multi-label framework for predicting protein subcellular localization at multiple granularity levels. Additionally, a dataset was curated and divided using a homology-based strategy for training and validation. Comparative analyses show that LocPro outperforms existing methods in sequence-based multi-label protein subcellular localization prediction. The practical utility of this framework is further demonstrated through case studies on drug target subcellular localization. All in all, LocPro serves as a valuable complement to existing protein localization prediction tools. The web server is freely accessible at https://idrblab.org/LocPro/.

Objective To explore the changes in cerebral blood flow caused by mandibular retrusion,as well as the impact and potential mechanisms on stroke recovery.Methods 6-week-old SD male rats were selected as experi-mental subjects.The metal cannula was bonded to the rat maxillary incisor for one week,forcing mandibular retru-sion(MR).Cerebral blood flow was detected by laser speckle imaging.Cognitive function was detected by the Morris water.Then,the stroke model was constructed in MR rats by using the middle cerebral artery occlusion(MCAO)method for one week.Meanwhile,metal cannulae were then removed in rats to restore the lower jaw's position(MCAO RO),serving as a positive control group.Consequently,rats were randomly divided into the fol-lowing groups:Sham groups,MCAO groups,MCAO MR groups,and MCAO RO groups.Neurological recovery was assessed through the modified neurological severity score(mNSS).The area of cerebral infarction was evalua-ted by using triphenyltetrazolium(TTC)staining.The changes in nerve cells were observed by using hematoxylin eosin(HE)staining.The protein expression level of vascular endothelial growth factor(VEGF)was detected by immunohistochemistry.The protein expression levels of platelet-endothelial cell adhesion molecule(CD31),sirtuin 6(SIRT6),and thioredoxin interaction protein(TXNIP)were detected by Western blot.The mRNA expression levels of SIRT6,TXNIP,and VEGF were determined by qRT-PCR.Microglia activation marker molecule 1(IBA-1)was detected by immunofluorescence.Resluts Because of mandibular retrusion,laser speckle showed de-creased cerebral blood flow,and the water maze showed decreased cognitive function.Compared to other groups,MCAO MR showed a larger ischemic area in TTC staining,while HE staining and neurological scoring showed poo-rer neurological function recovery.Western blot and qRT-PCR showed that the MCAO MR group inhibited the mR-NA and protein expression levels of SIRT6,upregulated the mRNA and protein expression levels of TXNIP,and in-creased the activation of microglia.Conclusion Mandibular retrusion reduces cerebral blood flow and alters cogni-tive function in rats.Mandibular retrusion inhibits recovery in stroke through the SIRT6/TXNIP axis.

ObjectiveTo explore the characteristics and major factors influencing mental health literacy (MHL) among non-graduating middle school and high school students in Taizhou, Zhejiang Province, and to provide a reference for the promotion of mental health literacy among adolescents. MethodsFrom September to October 2023, a stratified random cluster sampling method was used to conduct a questionnaire survey among students from three classes each in non-graduating grades in four middle schools and four high schools in Taizhou, Zhejiang Province. The survey included basic demographic information, a Structured Mental Health Literacy Questionnaire (MHLQ), and other psychological scales [Educational Stress Scale for Adolescents (ESSA), Perceived Choice Single Scale (PC), Child Depression Inventory (CDI), Generalized Anxiety Disorder (GAD), The University of California at Los Angeles 3-item Loneliness Scale (UCLA-3) and Multidimensional Scale of Perceived Social Support (MSPSS)]. t-tests, chi-square tests, analysis of variance (ANOVA), and multiple linear regressions were applied for the statistical analysis of the data. ResultsThe mental health literacy average score of 2 094 students was (82.3±15.8) points, with a mean of (4.1±0.8) points. The dimension of belief in mental health rights had the highest score. There were significant differences in the mental health literacy score across different dimensions for students with different household registration, economic levels, academic performance, and father’s education level (P<0.001). Multiple linear regression analysis indicated that rural household registration, lower paternal education level, greater academic pressure, a weaker sense of control over one’s behavior, less social support, and symptoms of loneliness, depression, or anxiety were associated with poorer mental health literacy among the students. ConclusionThe mental health literacy of middle school and high school students in Taizhou is generally good, but there are differences among students with different characteristics. Targeted interventions should be carried out for students from rural areas, with poorer mental health, and less low social support to improve the overall mental health literacy of adolescents.

[Abstract] [Objective] To compare and analyze the efficacy of platelet transfusion in patients with different doses, and to analyze the risk factors for platelet transfusion refractoriness. [Methods] A total of 5 827 patients who received platelet transfusion in the PLA General Hospital from May 2023 to May 2024 were selected as the research subjects, among which 4 780 patients were transfused with 1 therapeutic dose of platelets, and 1 047 patients were transfused with 0.5 therapeutic dose of platelets, and the efficacy of platelet transfusion was compared between the two groups. The effects of gender, disease type, white blood cell count before transfusion, fever, number of platelet transfusions, and platelet antibodies on platelet transfusion refractoriness were analyzed using univariate analysis, and the independent risk factors affecting platelet transfusion refractoriness were further analyzed by multivariate logistic regression. [Results] Among 4 780 patients, 3553 (74.3%) were effective and 1 227 (25.7%) were ineffective. Among 1 047 patients, 0.5 platelet infusion was effective in 755 cases (72.1%) and ineffective in 292 cases (27.9%). There was no significant difference in the effective rate of platelet transfusion between the two groups (P>0.05). Univariate analysis showed that the therapeutic effect of platelet transfusion was related to age, the number of platelet transfusion, disease type, platelet antibodies and white blood cell count before transfusion (P<0.05), while age, gender, fever and blood type were not related to the therapeutic effect of platelet transfusion (P>0.05). The results of multi-factor analysis showed that age, white blood cell count >50×10⁹/L, platelet transfusion times, disease type and platelet antibody were independent risk factors for ineffective transfusion (P<0.05). [Conclusion] There is no significant difference in the efficacy of platelet infusion with 0.5 therapeutic dose or 1 therapeutic dose. In addition, age, white blood cell count >50×10⁹/L, the number of platelet transfusion, disease type and platelet antibodies were the factors affecting the ineffective platelet transfusion in group 2.

Objective To explore the diagnostic value of musculoskeletal ultrasound in patients with limb pain.Methods A total of 80 patients with limb pain admitted to the First Hospital of Nanchang from January 2021 to December 2022 were included in the study.All patients received magnetic resonance imaging(MRI)and musculoskeletal ultrasound on admission.The consistency and coincidence rate of musculoskeletal ultrasound and MRI in diagnosing the cause of limb pain were compared.Results In the 80 patients,MRI and musculoskeletal ultrasound detected positive results in 78 cases,accounting for 97.50%,and 2 cases had no clear disease type.According to the results of MRI,there were 75 cases in which musculoskeletal ultrasound diagnosis of the cause of limb pain was consistent with the MRI results,and total coincidence rate was 96.15%(75/78),with excellent consistency(Kappa=0.907).Conclusion Musculoskeletal ultrasound can clearly display the fine tissue structure,and the diagnosis accuracy of limb pain is high,and the diagnosis consistency with MRI is excellent.