AIM: To analysis the correlation between extraocular muscle thickness measured by quantitative CT analysis of orbital structures and clinical activity score(CAS)of thyroid-associated ophthalmopathy(TAO).METHODS:This was a retrospective analysis, selecting clinical data of TAO patients admitted to the hospital from October 2020 to February 2025. Healthy individuals were chosen from hospital's physical examination as the control group. All participants underwent CT examination, the superior rectus muscle, inferior rectus muscle, medial rectus muscle, lateral rectus muscle, orbital area, protrusion degree, and total cross-sectional area of extraocular muscles/total orbital area ratio(OM/TOA)from the two groups of participants were compared. CAS was used to evaluate TAO patients, and the correlation between CAS score and quantitative analysis indicators of CT orbital structure was analyzed. Quantitative analysis indicators for CT orbital structure in TAO patients at different stages of activity were compared, and the predictive value of these indicators for TAO patients at different activity stages was investigated.RESULTS:A total of 77 TAO patients were enrolled in this study, including 38 males and 39 females, with ages ranging from 28 to 70 y(mean age 49.5±6.9 y). There were 77 cases in the control group, including 40 males and 37 females, with ages ranging from 26 to 70 y(mean age 49.0±7.3 y). There was no significant difference in gender and age between the two groups(both P>0.05). The quantitative analysis of left eye, right eye, and binocular CT orbital structure in TAO group patients showed significantly higher indicators than the control group(all P<0.001), and the CAS score of TAO group was 3.94±1.51 points. The CAS score was positively correlated with various indicators of CT orbital structure quantitative analysis(all P<0.05). According to the CAS score results, 14 cases(28 eyes)of TAO patients with a CAS score<3 were classified as inactive phase, including 8 males and 6 females, with an average age of 43.79±9.58 y. A total of 63 cases(126 eyes)with a CAS score of ≥3 was classified as active phase, including 30 males and 33 females, with an average age of 50.78±5.47 y. There was no significant difference in gender among TAO patients with different active phases(P=0.519), but there was a significant difference in age(P<0.001). The quantitative indicators of CT orbital structure in inactive patients were significantly lower than those in active patients(P<0.05). Finally, the superior rectus muscle, age, and degree of protrusion were selected to be included in the Logistic regression model. The analysis results showed that there was a correlation between the superior rectus muscle index, degree of protrusion and TAO activity phase(P<0.05), while age, and TAO activity phase showed no significant correlation(P>0.05). The ROC curve analysis results showed that the area under the curve(AUC)was 0.863, the standard error was 0.063, P<0.001, and the 95% confidence interval(95% CI)of AUC was 0.740-0.985. The sensitivity of the model prediction was 73.0%, the specificity was 92.9%, and the Youden index was 0.659. The prediction accuracy was 97.9%, the recall rate was 73.0%, and the F1 value was 0.836. The predicted optimal critical value was 0.857. The predicted probability was 0.74.CONCLUSION:Quantitative CT analysis of orbital structures can be used to assess disease severity in TAO patients.

Plant-derived extracellular vesicles (PDEVs) are nanoscale extracellular vesicles secreted by plant cells, characterized by a lipid bilayer structure. These vesicles carry a variety of bioactive molecules, including proteins, nucleic acids, and lipids, and play essential roles in intercellular communication and physiological regulation in plants. Compared to animal-derived extracellular vesicles, PDEVs offer several advantages, such as a broad range of sources, high biocompatibility, low immunogenicity, and low production costs. Furthermore, PDEVs have demonstrated remarkable potential as natural nanocarriers for drug delivery, due to their ability to efficiently traverse biological barriers, such as the blood-brain barrier, making them promising candidates for drug delivery systems. This review systematically elaborates on the complex composition of PDEVs, which consists of lipids, proteins, and nucleic acids, the typical structural characteristics of their lipid bilayers ranging from 30 to 150 nm, and their versatile loading capabilities as drug carriers, efficiently encapsulating various types of therapeutic agents such as hydrophilic small molecules, hydrophobic drugs, nucleic acids, and proteins. We systematically summarize the recent advancements in strategies for enhancing the loading efficiency of PDEVs, which include methods such as co-incubation, ultrasound-assisted loading, electroporation, freeze-thaw cycles, and microfluidic technology. These techniques are evaluated based on their underlying principles, suitable drug types, and their respective advantages. In addition to loading strategies, we focus on the engineered approaches to achieve targeted delivery using PDEVs, such as genetic engineering modifications, chemical ligand conjugation, membrane fusion technology, and polyethylene glycol (PEG) modification. We discuss the mechanisms of these strategies in enhancing targeting efficiency, prolonging in vivo circulation time, and improving therapeutic efficacy. Further, this review highlights the application of PDEVs in various disease models, including tumor, skin inflammation, metabolic disorders, and neurodegenerative diseases, showcasing their therapeutic potential as multifunctional delivery platforms. The ability of PDEVs to encapsulate diverse therapeutic agents and target specific tissues or cells opens up new avenues for the treatment of complex diseases, offering advantages over conventional drug delivery systems. However, despite the promising applications of PDEVs, several challenges remain in their development and clinical translation. These challenges include variability in source materials, standardization of preparation processes, quality control, scalability of production, and the need for clinical validation. To overcome these obstacles, the integration of advanced technologies such as artificial intelligence-assisted design and multi-omics analysis is proposed as a way to facilitate the precise development of PDEVs. These emerging technologies hold the potential to further enhance the precision and effectiveness of plant-based drug delivery systems, ultimately advancing the field of precision medicine. In conclusion, the use of PDEVs as a platform for drug delivery represents a promising area of research with the potential to revolutionize therapeutic strategies. Their ability to encapsulate and deliver a wide variety of bioactive molecules, along with their inherent advantages in biocompatibility and versatility, makes them a valuable tool in the development of more efficient and targeted therapeutic interventions. Continued research and innovation in this field will pave the way for the clinical implementation of PDEVs in the treatment of various diseases, offering new hope for more effective and sustainable therapeutic options.

Objective This study reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

BACKGROUND: The optimal antidepressant dosages remain controversial. This study aimed to analyze the efficacy of antidepressants and characterize their dose-response relationships in the treatments of major depressive disorders (MDD). METHODS: We searched multiple databases, including the Embase, Cochrane Central Register of Controlled Trials, PubMed, and Web of Science, for the studies that were conducted between January 8, 2016, and April 30, 2023. The studies are double-blinded, randomized controlled trials (RCTs) involving the adults (≥18 years) with MDD. The primary outcomes were efficacy of antidepressant and the dose-response relationships. A frequentist network meta-analysis was conducted, treating participants with various dosages of the same antidepressant as a single therapy. We also implemented the model-based meta-analysis (MBMA) using a Bayesian method to explore the dose-response relationships. RESULTS: The network meta-analysis comprised 135,180 participants from 602 studies. All the antidepressants were more effective than the placebo; toludesvenlafaxine had the highest odds ratio (OR) of 4.52 (95% confidence interval [CI]: 2.65-7.72), and reboxetine had the lowest OR of 1.34 (95%CI: 1.14-1.57). Moreover, amitriptyline, clomipramine, and reboxetine showed a linear increase in effect size from low to high doses. The effect size of toludesvenlafaxine increased significantly up to 80 mg/day and subsequently maintained the maximal dose up to 160 mg/day while the predictive curves of nefazodone were fairly flat in different dosages. CONCLUSIONS: Although most antidepressants were more efficacious than placebo in treating MDD, no consistent dose-response relationship between any antidepressants was observed. For most antidepressants, the maximum efficacy was achieved at lower or middle prescribed doses, rather than at the upper limit. REGISTRATION No. CRD42023427480; https://www.crd.york.ac.uk/prospero/display_record.php?
Humans ; Antidepressive Agents/therapeutic use* ; Depressive Disorder, Major/drug therapy* ; Dose-Response Relationship, Drug ; Randomized Controlled Trials as Topic

OBJECTIVE: To investigate the effect of daratumumab, lenalidomide and dexamethasone on quality of life in transplant-ineligible (TIE) patients with newly diagnosed multiple myeloma (NDMM). METHODS: The clinical data of 93 TIE NDMM patients in our hospital from January 2020 to December 2022 were retrospectively analyzed. The patients were divided into D-Rd group (48 cases) and Rd group (45 cases) according to treatment regimen. The patients in Rd group were treated with lenalidomide and dexamethasone, while those in D-Rd group were treated with daratumumab on the basis of Rd group. The QLQ-C30 and EQ-5D VAS scores of the two groups were compared at baseline and after 3, 6 and 12 treatment cycles. The last follow-up date was June 30, 2023, and overall survival (OS) was compared between the two groups. RESULTS: The median follow-up period in the D-Rd group was 21 (7-38) months, and the median OS was 34 months, while that in the Rd group was 16 (5-35) months, and the median OS was 28 months. There was significant difference in OS between the two groups ( P <0.05). After 3, 6 and 12 treatment cycles, the QLQ-C30 score and EQ-5D VAS score of the two groups were significantly improved (all P <0.05). After 3 and 12 treatment cycles, the QLQ-C30 score and EQ-5D VAS score of D-Rd group were significantly higher than those of Rd group (all P <0.05). There were no significant differences in the improvement of QLQ-C30 GHS and pain scores between the two groups of patients with age <75 years and ECOG 0-1 score after 3, 6 and 12 treatment cycles (P >0.05). In D-Rd group of patients with age≥75 years, the improvement of QLQ-C30 GHS scores after 3 and 12 treatment cycles and QLQ-C30 pain scores after 3, 6 and 12 treatment cycles was significantly superior to that in Rd group (all P <0.05). In D-Rd group of patients with ECOG 2 scores, the improvement of QLQ-C30 GHS and pain scores after 3, 6 and 12 treatment cycles was significantly superior to that in Rd group (all P <0.05). CONCLUSION Daratumumab, lenalidomide, and dexamethasone can significantly improve OS in TIE NDMM patients without decrease of quality of life, especially in those with age≥75 years or ECOG 2 scores.
Humans ; Multiple Myeloma/drug therapy* ; Lenalidomide/therapeutic use* ; Quality of Life ; Dexamethasone/therapeutic use* ; Retrospective Studies ; Antibodies, Monoclonal/therapeutic use* ; Female ; Male ; Middle Aged ; Aged ; Stem Cell Transplantation

OBJECTIVE: To retrospectively analyze the characteristics and influencing factors of COVID-19 infection in patients with multiple myeloma (MM) who underwent autologous hematopoietic stem cell transplantation (AHSCT). METHODS: The clinical data of MM patients who underwent AHSCT in Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from May 26, 2021 to December 26, 2022 were collected. The onset of COVID-19 infection, corresponding symptoms and laboratory tests were followed up in outpatient or by the means of telephone contact and online questionnaires. Related analysis was then performed. RESULTS: This study included 96 patients, and 72 cases among them were infected with COVID-19 while 24 cases were uninfected. Logistic regression analysis showed that vaccination did not significantly reduce the risk of COVID-19 infection, but patients who received two doses of the vaccine had a lower risk of developing moderate and severe disease than those who did not receive or received one dose (OR =0.06, P =0.029). Patients who received daratumumab before had a higher risk of COVID-19 infection (OR =5.78, P =0.039), while those with a history of immunomodulatory drugs (IMiDs) had the opposite effect (OR =0.31, P =0.028). The use of both drugs did not affect the severity of COVID-19 infection. CONCLUSION For MM patients undergoing AHSCT as first-line chemotherapy, COVID-19 vaccination does not significantly reduce the infection rate, but it plays a role in preventing moderate and severe cases. The application of antineoplastic drugs with different mechanisms has a certain impact on the susceptibility to the COVID-19, which should be considered comprehensively when creating treatment plans.
Humans ; Multiple Myeloma/complications* ; COVID-19/epidemiology* ; Hematopoietic Stem Cell Transplantation ; Transplantation, Autologous ; Retrospective Studies ; Risk Assessment ; Risk Factors ; Male ; Female ; Middle Aged ; SARS-CoV-2 ; Adult ; Antibodies, Monoclonal

ObjectiveTo investigate the effect of Danggui Shaoyaosan on ferroptosis in the rat model of non-alcoholic fatty liver disease （NAFLD） and explore the underlying mechanism based on the nuclear factor E₂-related factor 2 （Nrf2）/solute carrier family 7 member 11 （SLC7A11）/glutathione peroxidase 4 （GPX4） signaling pathway. MethodsThe sixty SD rats were randomly grouped as follows： control， model， Yishanfu （0.144 g·kg^-1）， and low-， medium-， and high-dose （2.44， 4.88， and 9.76 g·kg^-1， respectively） Danggui Shaoyaosan. A high-fat diet was used to establish the rat model of NAFLD. After 12 weeks of modeling， rats were treated with corresponding agents for 4 weeks. Then， the body weight and liver weight were measured， and the liver index was calculated. At the same time， serum and liver samples were collected. The levels or activities of total cholesterol （TC）， triglycerides （TG）， alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， and Fe²⁺ in the serum and TC， TG， free fatty acids （FFA）， malondialdehyde （MDA）， superoxide dismutase （SOD）， glutathione peroxidase （GPX）， and Fe²⁺ in the liver were measured. Hematoxylin-eosin staining and oil red O staining were employed to observe the pathological changes in the liver. Immunofluorescence was used to assess the reactive oxygen species （ROS） content in the liver. Mitochondrial morphology was observed by transmission electron microscopy. The protein levels of Nrf2， SLC7A11， GPX4， transferrin receptor 1 （TFR1）， and divalent metal transporter 1 （DMT1） in the liver were determined by Western blot. ResultsCompared with the control group， the model group showed increases in the body weight， liver weight， liver index， levels or activities of TC， TG， ALT， AST， and Fe²⁺ in the serum， levels of TC， TG， FFA， MDA， Fe²⁺， and ROS in the liver， and protein levels of TFR1 and DMT1 in the liver （P<0.01）， and decreases in the activities of SOD， GPX and the protein levels of Nrf2， SLC7A11， and GPX4 in the liver （P<0.05， P<0.01）. Meanwhile， the liver tissue in the model group presented steatosis， iron deposition， mitochondrial shrinkage， and blurred or swollen mitochondrial cristae. Compared with the model group， all doses of Danggui Shaoyaosan reduced the body weight， liver weight， liver index， levels or activities of TC， TG， ALT， AST， and Fe²⁺ in the serum， levels of TC， TG， FFA， MDA， Fe²⁺， and ROS in the liver， and protein levels of TFR1 and DMT1 in the liver （P<0.01）， while increasing the activities of SOD and GPX and the protein levels of Nrf2， SLC7A11， and GPX4 in the liver （P<0.01）. Furthermore， Danggui Shaoyaosan alleviated steatosis， iron deposition， and mitochondrial damage in the liver. ConclusionDanggui Shaoyaosan may inhibit lipid peroxidation and ferroptosis by activating the Nrf2/SLC7A11/GPX4 signaling pathway to treat NAFLD.

ObjectiveTo observe and analyze the plasma metabolite differences among colorectal cancer patients with spleen-qi deficiency， damp-heat stasis-toxin syndrome（SRYD）， non-spleen-qi deficiency， damp-heat stasis-toxin syndrome（non-SRYD）， and normal human beings（Normal）， aiming to identify unique metabolites specific to SRYD colorectal cancer patients and their potential biomarkers. MethodsBased on the diagnostic criteria of SRYD and non-SRYD colorectal cancer， 30 patients were included， including 10 patients with SRYD colorectal cancer and 20 patients with non-SRYD colorectal cancer， while 10 individuals were recruited for the Normal group. Metabolome sequencing of plasma from the three groups was performed by ultra-performance liquid chromatography-quadrupole-electrostatic field orbitrap mass spectrometry（UPLC-Q-Exactive-Orbitrap-MS）. Multivariate statistical analysis were performed by principal component analysis（PCA） and partial least squares-discriminant analysis（PLS-DA）， and the intergroup differential metabolites were identified based on variable importance in the projection（VIP） value>1 and t-test P<0.05. And pathway enrichment analysis based on Kyoto Encyclopedia of Genes and Genomes（KEGG） was performed to explore the metabolites and metabolic pathways specific to SRYD colorectal cancer patients. ResultsMetabolome sequencing results showed some differences in metabolic profiles between the groups. A total of 111 plasma differential metabolites were found in the SRYD group and the Normal group， of which 31 were up-regulated and 80 were down-regulated， mainly including stearoyl lysophosphatidylcholine， indole-3-acrylic acid， and dehydroepiandrosterone sulfate（P<0.05）. The non-SRYD group exhibited 97 differentially expressed metabolites compared to the Normal group， with 36 up-regulated and 61 down-regulated， mainly including stearoyl lysophosphatidylcholine， sphingosine， and palmitoyl lysophosphatidylcholine（P<0.05）. And the SRYD group exhibited 19 differentially expressed metabolites compared to the non-SRYD group， of which 5 were up-regulated and 14 were down-regulated， mainly including dihydrosphingosine， palmitic acid， and linoleoylethanolamide（P<0.05）. The significant differential metabolites were subjected to KEGG analysis to obtain significantly enriched metabolic pathways in each group， and the results showed that 11 metabolic pathways such as primary bile acid synthesis， cholesterol metabolism and bile secretion were differential signaling pathways specific to SRYD colorectal cancer. Further retrieval of the above key signaling pathways showed that bile acids were up-regulated in both bile secretion and primary bile acid synthesis pathways， and there was a trend of up-regulation of glycochenodeoxycholic acid， taurochenodeoxycholic acid， and chenodeoxycholic acid. ConclusionPrimary bile acid synthesis， cholesterol metabolism， and bile secretion-related pathways may be differential signaling pathways specific to SRYD colorectal cancer， and bile acid is a core molecule in the metabolic pathway， which can serve as potential biomarkers closely related to the development and progression of SRYD colorectal cancer.