ObjectiveTo investigate the migration and distribution characteristics of chemical constituents in blood and hippocampal tissues before and after vinegar processing of Citri Reticulatae Pericarpium Viride（CRPV）， and to explore the potential material basis and mechanisms underlying their regulatory effects on emotional disorders by comparing the effects of raw and vinegar-processed products of CRPV. MethodsUltra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS） was employed to characterize and identify the chemical constituents of raw and vinegar-processed products of CRPV extracts， as well as their migrating components in blood and hippocampal tissues after oral administration. Reference standards， databases， and relevant literature were utilized for compound annotation， with data processing performed using PeakView 1.2 software. Seventy male C57BL/6 mice were randomly divided into seven groups， including the blank group， model group， diazepam group（2.5 mg·kg^-1）， raw CRPV low/high dose groups（0.6， 1.2 g·kg^-1）， and vinegar-processed CRPV low/high dose groups（0.6， 1.2 g·kg^-1）， with 10 mice per group. Except for the blank group， all other groups underwent chronic restraint stress（2 h·d^-1） for 20 d. Each drug-treated group received oral administration at the predetermined dose starting 10 d after modeling， with a total treatment duration of 10 d. Following model-based drug administration， mice underwent open-field， forced swimming， and elevated plus maze tests. After anesthesia with isoflurane， whole brains were collected from each group of mice， and hippocampi were dissected. Reactive oxygen species（ROS） level in hippocampal tissues was quantified by enzyme-linked immunosorbent assay（ELISA）. Hematoxylin-eosin（HE） staining was used to observe hippocampal tissue morphology. Immunofluorescence was performed to detect neuronal nuclei（NeuN） and peroxisome proliferator-activated receptor alpha（PPARα） expressions in hippocampal tissue. Then， pharmacodynamic evaluations were conducted to assess the effects of raw and vinegar-processed CRPV on mood disorders， exploring the potential mechanisms. ResultsVinegar processing caused significant changes in the chemical composition of CRPV， with 18 components showing increased relative content and 35 components showing decreased relative content. The primary changes occurred in flavonoid compounds， including 20 flavonoids， 20 flavonoid glycosides， 3 triterpenes， 3 phenolic acids， 1 alkaloid， and 6 other compounds. Twenty-one components were detected in blood（15 methoxyflavones， 4 flavonoid glycosides， and 2 phenolic acids）， with 17 shared between raw and vinegar-processed CRPV. Seven components reached hippocampal tissues（all common to both forms）. In regulating emotional disorders， Vinegar-processed CRPV exhibited superior antidepressant-like effects compared to raw products. HE staining revealed that both treatments improved hippocampal neuronal morphology， particularly in the damaged CA1 and CA3 regions. Immunofluorescence and ELISA analyses demonstrated that both raw and vinegar-processed CRPV significantly modulated NeuN and PPARα expressions in hippocampal tissue while alleviating oxidative stress induced by excessive ROS（P<0.05）. ConclusionThe chemical composition of CRPV undergoes changes after vinegar processing， but the migrating components in blood and hippocampus are primarily methoxyflavonoids. These components may serve as the potential material basis for activating the PPARα pathway， thereby negatively regulating ROS generation in the hippocampus， reducing oxidative stress， and promoting the development of NeuN-positive neurons. These findings provide experimental evidence for enhancing quality standards， pharmacodynamic material research， and active drug development of raw and vinegar-processed CRPV.

ObjectiveTo observe the effects of Jiangtang No. 3 prescription on inflammatory pathways and insulin resistance-related indicators in rats with type 2 diabetes mellitus （T2DM）， and to elucidate its molecular mechanism in combating diabetes. MethodsA T2DM rat model was established using a high-fat diet combined with intraperitoneal injection of streptozotocin （STZ）. Successfully modeled rats were randomly assigned to the model group， metformin group， and low-， medium-， and high-dose Jiangtang No. 3 prescription groups， and a normal group was also set. Daily gavage was administered for 8 weeks as follows： metformin at 0.1 g·kg^-1·d^-1， Jiangtang No. 3 prescription granules at 1.62， 3.24， 6.48 g·kg^-1·d^-1 for the respective dose groups， and sterile water for the normal and model groups. Rat body weight， fasting blood glucose （FBG）， oral glucose tolerance test （OGTT）， and insulin tolerance test （ITT） were measured. After drug intervention， enzyme-linked immunosorbent assay （ELISA） was used to determine serum levels of total cholesterol （TC）， triglycerides （TG）， low-density lipoprotein cholesterol （LDL）， high-density lipoprotein cholesterol （HDL）， non-esterified fatty acids （NEFA）， interleukin （IL）-1β， IL-18， and insulin （INS）. Hematoxylin-eosin （HE） staining was used to observe morphological changes in adipose tissue. Real-time quantitative PCR was used to detect the mRNA expression of Toll-like receptor 4 （TLR4）， nuclear factor-κB （NF-κB）， NOD-like receptor protein 3 （NLRP3）， Caspase-1， IL-1β， IL-18， and gasdermin D （GSDMD） in adipose tissue. Western blot was used to measure the corresponding protein expression levels. ResultsCompared with the model group， Jiangtang No. 3 prescription groups exhibited significantly increased body weight （P<0.05， P<0.01）， significantly reduced FBG （P<0.05， P<0.01）， significant reductions in TC， TG， NEFA， and LDL （P<0.05， P<0.01）， and a significant increase in HDL （P<0.01）. Serum levels of inflammatory mediators IL-1β and IL-18 were significantly decreased （P<0.01）， the homeostatic model assessment of insulin resistance （HOMA-IR） index was significantly reduced （P<0.05， P<0.01）， and adipose tissue pathology was improved. The protein expression levels of TLR4， NF-κB， NLRP3， Caspase-1， IL-1β， IL-18， and GSDMD were markedly decreased （P<0.05， P<0.01）， and the mRNA expression levels of these indicators were also significantly downregulated （P<0.05， P<0.01）. Some effects were superior to those of the positive control drug metformin， and certain indicators exhibited dose-dependent improvements. ConclusionT2DM rats display significant inflammatory responses， disordered glucose and lipid metabolism， and insulin resistance. Jiangtang No. 3 prescription effectively suppresses inflammatory mediators， improves glucose and lipid metabolism and insulin resistance， and ameliorates pathological changes in adipose tissue. Its mechanism may be related to the regulation of the TLR4/NF-κB/NLRP3 signaling pathway in visceral adipose tissue， thereby influencing downstream inflammatory mediators.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

ObjectiveTo investigate the protective effect of Huayu Jiedu prescription against PC12 cell damage induced by a combination of neutrophil extracellular traps （NETs） and oxygen-glucose deprivation （OGD）. MethodsFirst， dimethyl sulfoxide （DMSO） was used to induce the differentiation of the human promyelocytic leukemia cell line （HL-60） into neutrophil-like cells （dHL-60）， and cell differentiation was assessed through Giemsa staining and flow cytometry. Next， phorbol myristate （PMA） was used to induce the formation of NETs in dHL-60 cells. The formation of NETs was assessed via SYTOX Green staining， and NETs were extracted by low-speed centrifugation. Finally， the NETs prepared through the conditioned medium were combined with OGD to induce a high-differentiation PC12 neuronal cell damage model through the co-culture method. This model was treated with the Huayu Jiedu prescription-containing serum. Cells were randomly allocated into a normal control group， a model （NETs + OGD） group， a traditional Chinese medicine （NETs + OGD + 5% Huayu Jiedu prescription-containing serum） group， and a NETosis inhibitor （100 mg·L^-1 DNase I + NETs + OGD） group. The cell counting kit-8 （CCK-8） assay was used to evaluate cell viability and screen the optimal intervention concentrations of NETs and Huayu Jiedu Formula-containing serum， as well as the optimal intervention time for OGD. Enzyme-linked immunosorbent assay （ELISA） was adopted to measure the levels of myeloperoxidase-DNA complexes （MPO-DNA）， citrullinated histone H3 （CitH3）， and neutrophil elastase （NE）. Western blot was employed to quantify the protein levels of CitH3 and cleaved Caspase-3. Terminal-deoxynucleotidyl transferase-mediated dUTP-biotin nick end labeling assay （TUNEL） staining and flow cytometry were employed to assess neuronal apoptosis. ResultsCompared with those in the normal control group， cells in the model group successfully differentiated into dHL60 cells after DMSO induction. Wright-Giemsa staining revealed that the cells in the model group had disappeared nucleoli， distinct reniform and lobulated changes of nuclei， highly condensed chromatin， and the cytoplasm containing pale purple fine granules. Flow cytometry showed that the mean fluorescence intensity （MFI） of CD11b in the model group was enhanced （P<0.01）. Compared with those in the normal control group， dHL60 cells in the model group successfully generated NETs after PMA induction. SYTOX Green staining revealed loss of cell membrane integrity， with chromatin released from the cytoplasm to form abundant extracellular， cloud-like fibrillar structures， and a marked increase in fluorescence intensity （P<0.01）. Through the CCK-8 assay for assessing the viability of highly differentiated PC12 cells， the optimal concentration for NETs was determined as 1 000 ng·L^-1， the optimal concentration of Huayu Jiedu formula-containing serum as 5%， and the optimal duration for OGD as 2 h. Compared with the normal control group， the model group showed elevated levels of MPO-DNA， CitH3， and NE （P<0.01） and upregulated protein levels of CitH3 and cleaved Caspase-3 （P<0.01）. Furthermore， TUNEL staining revealed an increased proportion of apoptotic cells （P<0.01） and flow cytometry showed an increased apoptosis rate （P<0.01） in the model group. Compared with the model group， the Huayu Jiedu formula-containing serum group and the NETosis inhibitor group exhibited declined levels of MPO-DNA， CitH3， and NE （P<0.05，P<0.01） and downregulated protein levels of CitH3 and cleaved Caspase-3 （P<0.01）. In addition， TUNEL staining showed a decrease in the proportion of apoptotic cells （P<0.01）， and flow cytometry revealed a decrease in the apoptosis rate （P<0.01）. ConclusionHuayu Jiedu prescription may exert a protective effect against ischemic neuronal damage by inhibiting NET formation or alleviating NET-induced neurotoxicity

ObjectiveTo investigate the protective effect of Huayu Jiedu prescription against PC12 cell damage induced by a combination of neutrophil extracellular traps （NETs） and oxygen-glucose deprivation （OGD）. MethodsFirst， dimethyl sulfoxide （DMSO） was used to induce the differentiation of the human promyelocytic leukemia cell line （HL-60） into neutrophil-like cells （dHL-60）， and cell differentiation was assessed through Giemsa staining and flow cytometry. Next， phorbol myristate （PMA） was used to induce the formation of NETs in dHL-60 cells. The formation of NETs was assessed via SYTOX Green staining， and NETs were extracted by low-speed centrifugation. Finally， the NETs prepared through the conditioned medium were combined with OGD to induce a high-differentiation PC12 neuronal cell damage model through the co-culture method. This model was treated with the Huayu Jiedu prescription-containing serum. Cells were randomly allocated into a normal control group， a model （NETs + OGD） group， a traditional Chinese medicine （NETs + OGD + 5% Huayu Jiedu prescription-containing serum） group， and a NETosis inhibitor （100 mg·L^-1 DNase I + NETs + OGD） group. The cell counting kit-8 （CCK-8） assay was used to evaluate cell viability and screen the optimal intervention concentrations of NETs and Huayu Jiedu Formula-containing serum， as well as the optimal intervention time for OGD. Enzyme-linked immunosorbent assay （ELISA） was adopted to measure the levels of myeloperoxidase-DNA complexes （MPO-DNA）， citrullinated histone H3 （CitH3）， and neutrophil elastase （NE）. Western blot was employed to quantify the protein levels of CitH3 and cleaved Caspase-3. Terminal-deoxynucleotidyl transferase-mediated dUTP-biotin nick end labeling assay （TUNEL） staining and flow cytometry were employed to assess neuronal apoptosis. ResultsCompared with those in the normal control group， cells in the model group successfully differentiated into dHL60 cells after DMSO induction. Wright-Giemsa staining revealed that the cells in the model group had disappeared nucleoli， distinct reniform and lobulated changes of nuclei， highly condensed chromatin， and the cytoplasm containing pale purple fine granules. Flow cytometry showed that the mean fluorescence intensity （MFI） of CD11b in the model group was enhanced （P<0.01）. Compared with those in the normal control group， dHL60 cells in the model group successfully generated NETs after PMA induction. SYTOX Green staining revealed loss of cell membrane integrity， with chromatin released from the cytoplasm to form abundant extracellular， cloud-like fibrillar structures， and a marked increase in fluorescence intensity （P<0.01）. Through the CCK-8 assay for assessing the viability of highly differentiated PC12 cells， the optimal concentration for NETs was determined as 1 000 ng·L^-1， the optimal concentration of Huayu Jiedu formula-containing serum as 5%， and the optimal duration for OGD as 2 h. Compared with the normal control group， the model group showed elevated levels of MPO-DNA， CitH3， and NE （P<0.01） and upregulated protein levels of CitH3 and cleaved Caspase-3 （P<0.01）. Furthermore， TUNEL staining revealed an increased proportion of apoptotic cells （P<0.01） and flow cytometry showed an increased apoptosis rate （P<0.01） in the model group. Compared with the model group， the Huayu Jiedu formula-containing serum group and the NETosis inhibitor group exhibited declined levels of MPO-DNA， CitH3， and NE （P<0.05，P<0.01） and downregulated protein levels of CitH3 and cleaved Caspase-3 （P<0.01）. In addition， TUNEL staining showed a decrease in the proportion of apoptotic cells （P<0.01）， and flow cytometry revealed a decrease in the apoptosis rate （P<0.01）. ConclusionHuayu Jiedu prescription may exert a protective effect against ischemic neuronal damage by inhibiting NET formation or alleviating NET-induced neurotoxicity

Digital intelligence technology is a comprehensive technical system with data as the key element and artificial intelligence as the core driving force. It provides innovative methodological support for addressing core bottlenecks in rare disease etiology research, including sample scarcity, high-dimensional datacomplexity, intricate pathogenic mechanisms, and challenges in causal validation. This paper systematically reviews the application pathways and current implementation of digital intelligence across four major stages of rare disease research, including etiological clue mining, causal inference, mechanism analysis, and clinical translation. Furthermore, it summarizes the technical strengths, existing limitations, and developmental challenges, aiming to inform optimization of the research paradigm and promote the sustainable advancement of rare disease research.

Purpose: This study assessed the performance of the ultrasound-guided attenuation parameter (UGAP) in diagnosing and grading hepatic steatosis in patients with metabolic dysfunctionassociated steatotic liver disease (MASLD). Magnetic resonance imaging proton density fat fraction (MRI-PDFF) served as the reference standard. Methods: Patients with hepatic steatosis were enrolled in this prospective study and underwent UGAP measurements. MRI-PDFF values of ≥5%, ≥15%, and ≥25% were used as references for the diagnosis of steatosis grades ≥S1, ≥S2, and S3, respectively. Spearman correlation coefficients and area under the receiver operating characteristic curves (AUCs) were calculated. Results: Between July 2023 and June 2024, the study included 88 patients (median age, 40 years; interquartile range [IQR], 36 to 46 years), of whom 54.5% (48/88) were men and 45.5% (40/88) were women. Steatosis grades exhibited the following distribution: 22.7% (20/88) had S0, 50.0% (44/88) had S1, 21.6% (19/88) had S2, and 5.7% (5/88) had S3. The success rate for UGAP measurements was 100%. The median UGAP value was 0.74 dB/cm/MHz (IQR, 0.65 to 0.82 dB/ cm/MHz), and UGAP values were positively correlated with MRI-PDFF (r=0.77, P<0.001). The AUCs of UGAP for the diagnoses of ≥S1, ≥S2, and S3 steatosis were 0.91, 0.90, and 0.88, respectively. In the subgroup analysis, 98.4% (60/61) of patients had valid controlled attenuation parameter (CAP) values. UGAP measurements were positively correlated with CAP values (r=0.65, P<0.001). Conclusion Using MRI-PDFF as the reference standard, UGAP demonstrates good diagnostic performance in the detection and grading of hepatic steatosis in patients with MASLD.

Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields.

Objective:To analyze the changes in the prevalence characteristics of multimorbidity among adolescents aged 13-18 in Inner Mongolia Autonomous Region from 2019 to 2022 and to explore the association between multimorbidity and moderate to high-intensity physical activity among them.Methods:A stratified random cluster sampling method was used to select students aged 13-18 in Inner Mongolia Autonomous Region every September from 2019 to 2022. Physical examinations, demographic characteristics, and depression-related surveys were conducted to analyze the multimorbidity of overweight, obesity, high blood pressure, myopia, spinal curvature abnormality, and depression. A logistic regression model was used to analyze the association between multimorbidity and moderate to high-intensity physical activity.Results:From 2019 to 2022, 70 972, 62 923, 80 254, and 78 288 study subjects were included, with the rates of multimorbidity being 56.4%, 55.4%, 57.2%, and 55.8%, respectively. The rates of multimorbidity remained relatively stable from 2019 to 2022 ( χ2=0.06, P=0.950). The incidence of multimorbidity among girls was significantly higher than that among boys ( P<0.001). The incidence of multimorbidity among urban students was significantly higher than that among suburban students ( P<0.001). The incidence of multimorbidity among high school students was higher than that among middle school students ( P<0.001). The top three multimorbidity combinations were myopia and overweight/obesity (26.4%), myopia and high blood pressure (24.4%), and myopia and depression (19.8%), while the least common combination was depression and spinal curvature abnormality (1.1%). The multimorbidity patterns showed no significant differences between years ( χ2=0.03, P=0.999). The multimorbidity status was significantly associated with the status of meeting the standard of moderate to high-intensity physical activity ( OR=0.83, 95% CI: 0.80-0.86). The association was stronger in boys ( OR=0.77, 95% CI: 0.73-0.81) compared with girls ( OR=0.90, 95% CI: 0.85-0.96), with a significant interaction term ( P<0.001). Conclusion:From 2019 to 2022, the incidence of multimorbidity among adolescents aged 13 to 18 in Inner Mongolia Autonomous Region is relatively high, mainly due to the co-occurrence of myopia and other health problems. Adequate physical activity is an important factor in reducing multimorbidity.