Diabetic retinopathy(DR)has emerged as the leading cause of vision loss among working-age people in many countries under the increasing prevalence of diabetes and the longevity of the population. The pathogenesis of DR is complicated and has not been fully elucidated at present, while the treatment methods of DR have not been greatly improved, mainly retinal laser photocoagulation, anti-vascular endothelial growth factor(VEGF)treatment and vitrectomy surgery. The current treatment methods not only have shortcomings, but also bring serious economic burden to patients. Therefore, new methods are needed to explore the pathogenesis of DR, discover new treatments or improve current treatments, and improve the satisfaction of DR patients. In recent years, the identification and quantification of proteins expressed in blood, retina, vitreous humor, aqueous humor, and tears of all observable DR patients and DR rats and differentially expressed proteins after drug intervention have provided new ideas for further exploring the pathogenesis, diagnosis and treatment of DR with the rise of proteomics, which put forward new insights into early detection and treatment.The proteomics of DR in recent years are reviewed, in order to provide new ideas for the diagnosis and treatment of DR.

Diabetic retinopathy(DR)has emerged as the leading cause of vision loss among working-age people in many countries under the increasing prevalence of diabetes and the longevity of the population. The pathogenesis of DR is complicated and has not been fully elucidated at present, while the treatment methods of DR have not been greatly improved, mainly retinal laser photocoagulation, anti-vascular endothelial growth factor(VEGF)treatment and vitrectomy surgery. The current treatment methods not only have shortcomings, but also bring serious economic burden to patients. Therefore, new methods are needed to explore the pathogenesis of DR, discover new treatments or improve current treatments, and improve the satisfaction of DR patients. In recent years, the identification and quantification of proteins expressed in blood, retina, vitreous humor, aqueous humor, and tears of all observable DR patients and DR rats and differentially expressed proteins after drug intervention have provided new ideas for further exploring the pathogenesis, diagnosis and treatment of DR with the rise of proteomics, which put forward new insights into early detection and treatment.The proteomics of DR in recent years are reviewed, in order to provide new ideas for the diagnosis and treatment of DR.

ObjectiveBased on ultra performance liquid chromatography-quadrupole-electrostatic field orbital trap high-resolution mass spectrometry（UPLC-Q-Orbitrap-MS）， to identify the in vivo and in vitro chemical components of total phenolic acids in Gei Herba（TPAGH）， and to clarify the pharmacological effects and potential mechanisms of the effective part in promoting acute wound healing and inhibiting scar formation. MethodsUPLC-Q-Orbitrap-MS was used to identify the chemical components of TPAGH and ingredients absorbed in vivo after topical administration. A total of 120 ICR mice were randomly divided into the model group， recombinant human epidermal growth factor（rhEGF） group（4 mg·kg^-1）， and low， medium， and high dose groups of TPAGH（3.5， 7， 14 mg·kg^-1）， with 24 mice in each group. A full-thickness skin excision model was constructed， and each administration group was coated with the drug at the wound site， and the model group was treated with an equal volume of normal saline， the treatment was continued for 30 days， during which 8 mice from each group were sacrificed on days 6， 12， and 30. The healing of the wounds in the mice was observed， and histopathological changes in the skin tissues were dynamically observed by hematoxylin-eosin（HE）， Masson， and Sirius red staining， and enzyme-linked immunosorbent assay（ELISA） was used to dynamically measure the contents of interleukin-6（IL-6）， tumor necrosis factor-α（TNF-α）， vascular endothelial growth factor A（VEGFA）， matrix metalloproteinase（MMP）-3 and MMP-9 in skin tissues. Network pharmacology was used to predict the targets related to the promotion of acute wound healing and the inhibition of scar formation by TPAGH， and molecular docking of key components and targets was performed. Gene Ontology（GO） biological process analysis and Kyoto Encyclopedia of Genes and Genomes（KEGG） pathway enrichment analysis were carried out for the related targets， so as to construct a network diagram of herbal material-compound-target-pathway-pharmacological effect-disease for further exploring its potential mechanisms. ResultsA total of 146 compounds were identified in TPAGH， including 28 phenylpropanoids， 31 tannins， 23 triterpenes， 49 flavonoids， and 15 others， and 16 prototype components were found in the serum of mice. Pharmacodynamic results showed that， compared with the model group， the TPAGH groups showed a significant increase in relative wound healing rate and relative scar inhibition rate（P<0.05）， and the number of new capillaries， number of fibroblasts， number of new skin appendages， epidermal regeneration rate， collagen deposition ratio， and Ⅲ/Ⅰ collagen ratio in the tissue were significantly improved（P<0.05， 0.01）， the levels of IL-6， TNF-α， MMP-3 and MMP-9 in the skin tissues were reduced to different degrees， while the level of VEGFA was increased. Network pharmacology analysis screened 10 core targets， including tumor protein 53（TP53）， sarcoma receptor coactivator（SRC）， protein kinase B（Akt）1， signal transducer and activator of transcription 3（STAT3）， epidermal growth factor receptor（EGFR） and so on， participating in 75 signaling pathways such as advanced glycation end-products（AGE）-receptor for AGE（AGE/RAGE） signaling pathway， phosphatidylinositol 3-kinase（PI3K）/Akt signaling pathway， mitogen-activated protein kinase（MAPK） signaling pathway. Molecular docking confirmed that the key components genistein， geraniin， and casuariin had good binding ability to TP53， SRC， Akt1， STAT3 and EGFR. ConclusionThis study comprehensively reflects the chemical composition of TPAGH and the absorbed components after topical administration through UPLC-Q-Orbitrap-MS. TPAGH significantly regulates key indicators of skin healing and tissue reconstruction， thereby clarifying its role in promoting acute wound healing and inhibiting scar formation. By combining in vitro and in vivo component identification with network pharmacology， the study explores how key components may bind to targets such as TP53， Akt1 and EGFR， exerting therapeutic effects through related pathways such as immune inflammation and vascular regeneration.

ObjectiveTo evaluate the therapeutic effect and mechanism of tendon-management and patella-movement therapeutic manipulation in the treatment of patellofemoral arthritis based on imaging evaluation. MethodsTotally 126 patients with patellofemoral arthritis were recruited and divided into a treatment group and a control group according to a randomised numerical table. The control group received routine sodium hyaluronate injection once a week for a total of 5 times； the treatment group received tendon-management and patella-movement therapeutic manipulation three times a week for four weeks. We compared the Western Ontario and McMaster University osteoarthritis index score （WOMAC）， visual analogue scale （VAS）， imaging indicators including patellar external displacement distance， patellofemoral fit angle， lateral patellofemoral angle， and patellofemoral index， and overall effectiveness evaluation between the two groups before and one week after treatment. ResultsThe total effective rate of the treatment group （45/54， 83.33%） was significantly higher than that of the control group （36/54， 66.67%，P＜0.05）. One week after the end of treatment， the VAS scores and WOMAC scores of both groups were lower than those before treatment in the same group （P＜0.01）， and the patellofemoral index and patellofemoral fit angle of the treatment group decreased compared with that of the control group （P＜0.05）. Compared with the pre-treatment， the distance of patellar external displacement， patellofemoral index， and patellofemoral fit angle decreased in the treatment group 1 week after the end of treatment， and the patellofemoral fit angle decreased in the control group （P＜0.05）. ConclusionThe therapeutic manipulation of tendon-management and patella-movement can correct the degree of patellar external displacement， alleviate joint pain symptoms， improve joint function， and achieve the goal of treating patellofemoral arthritis.

AIM: To explore the relationship between hyperopia reserve and ocular biometric parameters in 4-14 year-old Uyghur students from Hotan County, Xinjiang, and to provide scientific evidence for myopia prevention.METHODS: From September 1 to October 31, 2023, a stratified random cluster sampling method was used to select 3 264 students(3 264 eyes)from 6 schools in Hotan County. Participants underwent uncorrected distance visual acuity testing, cycloplegic refraction, and ocular biometric measurements. The correlation between spherical equivalent(SE)and ocular biometric parameters was analyzed by multiple linear regression.RESULTS: A total of 1 998 non-myopic students(1 998 eyes)were included in the study, with 1 354 students(67.77%)showing insufficient hyperopia reserve. The detection rate of insufficient hyperopia reserve decreased with age, from 94.12% at age 4 to 18.13% at age 14(P<0.001). Multiple linear regression analysis showed that in the group with sufficient hyperopia reserve, age, gender, uncorrected distance visual acuity, axial length(AL), and keratometry(K)explained 66.5% of the variance in SE; while in the group with insufficient hyperopia reserve, these factors explained only 28.0% of the SE variance.CONCLUSION: In non-myopic Uyghur students aged 4-14 in Hotan County, Xinjiang, the detection rate of insufficient hyperopia reserve was 67.77%. In the group with insufficient hyperopia reserve, age, gender, AL, and K explained only a small portion of the SE variance, suggesting that the refractive status of this population may be influenced by more complex factors.

Objective To explore the association of diabetes status with the development of tuberculosis (TB) among the community population in Shanghai, and to provide evidence for the formulation of tuberculosis prevention and control strategies. Methods This population-based cohort study was based on Shanghai Suburban Adult Cohort and Biobank (SSACB) in China. The baseline data were acquired by questionnaires, physical examinations and blood biochemistry tests. TB incidence was obtained by matching with TB management information system data. A Cox proportional risk model was established to assess the risk of tuberculosis. Results A total of 36 014 research subjects were included, with an average age of 56.3±11.3 years, of which 14 587 (40.5%) were male. Over 6 years of follow-up, 47 individuals progressed to tuberculosis (incidence rate: 19.8 per 100 000 person-year, 95% CI: 14.6 -26.4). An increased risk of TB was observed in participants with newly diagnosed diabetes compared with those without diabetes (adjusted hazard ratio [aHR], 2.73; 95% CI, 1.19 - 6.28). Conclusion The risk of tuberculosis in newly diagnosed diabetic patients is significantly increased, and strengthening tuberculosis screening for this population should be considered in practical work.

Objective: To explore the application and clinical efficacy of red blood cell therapeutic apheresis in erythropoietic protoporphyria (EPP) and hereditary hemochromatosis (HH). Methods: 1) The EPP patient was hospitalized twice for "abdominal pain, nausea, vomiting, and brown urine". One and two sessions of red blood cell exchange/therapeutic plasma exchange (RCE/TPE) were respectively performed during the two hospitalizations. During each session, one RCE with 6-8 units of leukoreduced RBCs and 3-4 TPE procedures with 1 800-2 000 mL of frozen plasma was conducted. Biochemical parameters were monitored before and after treatment. 2) The HH patient was hospitalized for “repeatedly elevated aminotransferases”. Erythrocytapheresis was performed once, removing 550 mL of red blood cells, and venous phlebotomy was conducted once every 2 months subsequently. Blood routine and ferritin levels were assessed before and after treatment. Results: 1) During the first hospitalization, the EPP patient was relieved of the abdominal pain and brown urine after therapeutic apheresis. The total bilirubin level decreased from 141.8 μmol/L on admission to 68.6 μmol/L at discharge, with a symptom remission duration of 10 months. During the second hospitalization, the EPP patient still had recurrent abdominal pain after therapeutic apheresis. He developed psychiatric symptoms and gastrointestinal bleeding subsequently, accompanied by elevated bilirubin levels. Liver function deteriorated and the patient went into the state of the end-stage liver disease (ESLD). 2) For the HH patient, the hemoglobin level prior to erythrocytapheresis and vein phlebotomy was 150-160 g/L, with the lowest value occurring two days after erythrocytapheresis, decreasing to 107 g/L. The ferritin level before erythrocytapheresis was 2 428.08 ng/mL and it declined gradually after theraphy, with the lowest value occurring two months after erythrocytapheresis, decreasing to 1 094 ng/mL. The ferritin level was 1 114 ng/mL two months following the first vein phlebotomy, however it increased to 1 472 ng/mL two months after the second vein phlebotomy. Conclusion: RCE/TPE may alleviate protoporphyrin liver disease and help patients with bridging liver transplantation before EPP developments to ESLD. For HH patients with significantly elevated ferritin levels, erythrocytapheresis reduces serum ferritin more quickly and maintains its level longer relative to phlebotomy.

ObjectiveTransfer RNA-derived fragments (tRFs) are a recently characterized and rapidly expanding class of small non-coding RNAs, typically ranging from 13 to 50 nucleotides in length. They are derived from mature or precursor tRNA molecules through specific cleavage events and have been implicated in a wide range of cellular processes. Increasing evidence indicates that tRFs play important regulatory roles in gene expression, primarily by interacting with target messenger RNAs (mRNAs) to induce transcript degradation, in a manner partially analogous to microRNAs (miRNAs). However, despite their emerging biological relevance and potential roles in disease mechanisms, there remains a significant lack of computational tools capable of systematically predicting the interaction landscape between tRFs and their target mRNAs. Existing databases often rely on limited interaction features and lack the flexibility to accommodate novel or user-defined tRF sequences. The primary goal of this study was to develop a machine learning based prediction algorithm that enables high-throughput, accurate identification of tRF:mRNA binding events, thereby facilitating the functional analysis of tRF regulatory networks. MethodsWe began by assembling a manually curated dataset of 38 687 experimentally verified tRF:mRNA interaction pairs and extracting seven biologically informed features for each pair: (1) AU content of the binding site, (2) site pairing status, (3) binding region location, (4) number of binding sites per mRNA, (5) length of the longest consecutive complementary stretch, (6) total binding region length, and (7) seed sequence complementarity. Using this dataset and feature set, we trained 4 distinct machine learning classifiers—logistic regression, random forest, decision tree, and a multilayer perceptron (MLP)—to compare their ability to discriminate true interactions from non-interactions. Each model’s performance was evaluated using overall accuracy, receiver operating characteristic (ROC) curves, and the corresponding area under the ROC curve (AUC). The MLP consistently achieved the highest AUC among the four, and was therefore selected as the backbone of our prediction framework, which we named tRF Prospect. For biological validation, we retrieved 3 high-throughput RNA-seq datasets from the gene expression omnibus (GEO) in which individual tRFs were overexpressed: AS-tDR-007333 (GSE184690), tRF-3004b (GSE197091), and tRF-20-S998LO9D (GSE208381). Differential expression analysis of each dataset identified genes downregulated upon tRF overexpression, which we designated as putative targets. We then compared the predictions generated by tRF Prospect against those from three established tools—tRFTar, tRForest, and tRFTarget—by quantifying the number of predicted targets for each tRF and assessing concordance with the experimentally derived gene sets. ResultsThe proposed algorithm achieved high predictive accuracy, with an AUC of 0.934. Functional validation was conducted using transcriptome-wide RNA-seq datasets from cells overexpressing specific tRFs, confirming the model’s ability to accurately predict biologically relevant downregulation of mRNA targets. When benchmarked against established tools such as tRFTar, tRForest, and tRFTarget, tRF Prospect consistently demonstrated superior performance, both in terms of predictive precision and sensitivity, as well as in identifying a higher number of true-positive interactions. Moreover, unlike static databases that are limited to precomputed results, tRF Prospect supports real-time prediction for any user-defined tRF sequence, enhancing its applicability in exploratory and hypothesis-driven research. ConclusionThis study introduces tRF Prospect as a powerful and flexible computational tool for investigating tRF:mRNA interactions. By leveraging the predictive strength of deep learning and incorporating a broad spectrum of interaction-relevant features, it addresses key limitations of existing platforms. Specifically, tRF Prospect: (1) expands the range of detectable tRF and target types; (2) improves prediction accuracy through multilayer perceptron model; and (3) allows for dynamic, user-driven analysis beyond database constraints. Although the current version emphasizes miRNA-like repression mechanisms and faces challenges in accurately capturing 5'UTR-associated binding events, it nonetheless provides a critical foundation for future studies aiming to unravel the complex roles of tRFs in gene regulation, cellular function, and disease pathogenesis.

Objective: To explore the application and clinical efficacy of red blood cell therapeutic apheresis in erythropoietic protoporphyria (EPP) and hereditary hemochromatosis (HH). Methods: 1) The EPP patient was hospitalized twice for "abdominal pain, nausea, vomiting, and brown urine". One and two sessions of red blood cell exchange/therapeutic plasma exchange (RCE/TPE) were respectively performed during the two hospitalizations. During each session, one RCE with 6-8 units of leukoreduced RBCs and 3-4 TPE procedures with 1 800-2 000 mL of frozen plasma was conducted. Biochemical parameters were monitored before and after treatment. 2) The HH patient was hospitalized for “repeatedly elevated aminotransferases”. Erythrocytapheresis was performed once, removing 550 mL of red blood cells, and venous phlebotomy was conducted once every 2 months subsequently. Blood routine and ferritin levels were assessed before and after treatment. Results: 1) During the first hospitalization, the EPP patient was relieved of the abdominal pain and brown urine after therapeutic apheresis. The total bilirubin level decreased from 141.8 μmol/L on admission to 68.6 μmol/L at discharge, with a symptom remission duration of 10 months. During the second hospitalization, the EPP patient still had recurrent abdominal pain after therapeutic apheresis. He developed psychiatric symptoms and gastrointestinal bleeding subsequently, accompanied by elevated bilirubin levels. Liver function deteriorated and the patient went into the state of the end-stage liver disease (ESLD). 2) For the HH patient, the hemoglobin level prior to erythrocytapheresis and vein phlebotomy was 150-160 g/L, with the lowest value occurring two days after erythrocytapheresis, decreasing to 107 g/L. The ferritin level before erythrocytapheresis was 2 428.08 ng/mL and it declined gradually after theraphy, with the lowest value occurring two months after erythrocytapheresis, decreasing to 1 094 ng/mL. The ferritin level was 1 114 ng/mL two months following the first vein phlebotomy, however it increased to 1 472 ng/mL two months after the second vein phlebotomy. Conclusion: RCE/TPE may alleviate protoporphyrin liver disease and help patients with bridging liver transplantation before EPP developments to ESLD. For HH patients with significantly elevated ferritin levels, erythrocytapheresis reduces serum ferritin more quickly and maintains its level longer relative to phlebotomy.

ObjectiveAutoimmune thyroiditis （AIT） is a complex and immune-mediated disorder， with no established treatment protocol. Both Western and traditional Chinese medicine （TCM） focus on the pathogenesis and treatment of AIT. This study evaluated the clinical consistency of existing AIT animal models based on the diagnostic criteria of both Western and TCM， using a novel evaluation method. Additionally， it proposed recommendations and future prospects for improving these models. MethodsA comprehensive literature review was conducted on existing AIT animal models， using databases and the diagnostic criteria of both Western and TCM. Core and accompanying symptoms of these models were scored based on the diagnostic criteria of both Western and TCM， and clinical consistency was assessed. ResultsMice are the primary experimental animals used in AIT modeling. Modeling methods include vaccine immunization， iodine induction， heterologous thyroid antigen immunization， and a combination of high iodine water and antigen immunization. The average consistency of clinical syndromes based on TCM and Western medicine is 40%， 60%， 54%， and 63%， with the highest consistency observed in the combined high iodine water and antigen immunization model. Pathological models based on TCM are less common， with the liver-stagnation-spleen-deficiency rat model showing high clinical consistency. While most models are designed according to Western medical theory， meeting the surface and structural effectiveness criteria of Western medicine. However， there is a lack of fine-tuning and clear differentiation of TCM syndromes. ConclusionCurrent AIT syndrome-disease combination animal models primarily reflect the pathological features of Western medicine， with limited integration of TCM syndromes. Future research should aim to combine the syndrome characteristics of TCM with the pathological features of Western medicine， creating multi-factor and dynamic syndrome-disease models. Such models would better facilitate an experimental platform that conforms to the theories of TCM， providing more comprehensive support and guidance for the pathogenesis and treatment strategies of AIT.