Weighted ultrasound entropy imaging for HIFU ablation monitoring with improved sensitivity and contrast.

BACKGROUND: Although B-mode imaging has been widely used in ultrasound-guided high-intensity focused ultrasound (HIFU) treatment, challenges remain in improving its quality and sensitivity for monitoring the thermal dose. Recently, quantitative ultrasound (QUS) imaging has been recognized with the potential to better sense the changes in the microstructure of ablated tissues. PURPOSE: This study proposed to use a QUS method called weighted ultrasound entropy (WUE) imaging to monitor the HIFU ablation. METHODS: Based on ex-vivo and in-vivo experiments, WUE images reflecting tissue changes during HIFU treatment under different acoustic power levels (174-308 W) were reconstructed with a newly established imaging framework. The performance of the proposed WUE imaging in the monitoring of HIFU treatment was compared with the corresponding B-mode images in terms of their contrast-to-noise ratios (CNRs) between the focal region and the background. RESULTS: It was found that HIFU irradiation with higher power generated larger WUE values in the focal region, and the bright spots grew in size as the acoustic sonication proceeded. Compared with the in-situ B-mode images, the WUE images had higher image quality in indicating lesion formation, with a 39.2%-53.4% improvement in the CNR at different stages. Meanwhile, a correlation (R = 0.84) between the damage area estimated in WUE images and that measured from the dissected ex-vivo tissue samples was found. CONCLUSIONS: WUE imaging is more sensitive and accurate than B-mode imaging in monitoring HIFU therapy. These findings suggest that WUE imaging could be a promising technique for assisting ultrasound-guided HIFU ablation.

Efficacy of hip abductors exercise training combined with repetitive transcranial magnetic stimulation on knee osteoarthritis: A randomized controlled trial.

BACKGROUND: Knee osteoarthritis is a common degenerative joint disease where a single treatment method often fails to fully alleviate symptoms. Hence, finding effective non-invasive combined treatment approaches is particularly crucial. OBJECTIVE: The efficacy of treating knee osteoarthritis with hip abductors exercise training combined with repetitive transcranial magnetic stimulation was assessed through functional scales and objective evaluation methods. METHODS: In this four-week randomized clinical trial, 160 patients meeting inclusion criteria were randomly assigned 1:1 to group A to receive oral celecoxib and group B to receive a combination of hip abductors exercise training and repeated transcranial magnetic stimulation. The primary outcome was the western Ontario and McMaster universities osteoarthritis index. The secondary outcomes include Visual Analogue Scale, knee outcome survey activities of daily living scale, Active Range of Motion, and the Quadriceps Angle, the tibiofemoral angle, peak adductor moment, the integrated electromyography and root mean square of the surface electromyography of the lower extremity muscles. Paired sample t test was used for Within-Group comparison of outcome indicators, and independent sample t test was used for Between-Group comparison. RESULTS: Of the 160 randomly assigned patients, 150 completed the study. After 4 weeks, the WOMAC index decreased from 61 ± 10.83 to 40.55 ± 7.58 in the combined treatment group and from 60.97 ± 10.18 to 47.7 ± 10.13 in the celecoxib group. The effect of the combined treatment group was significantly higher than that in the celecoxib group (P< 0.001). In the combined treatment group, the score of knee joint daily living scale increased (P< 0.001), the active range of motion increased (P< 0.001), the quadriceps angle decreased (P< 0.001), the tibiofemoral angle increased (P< 0.001), and the peak adduction moment decreased (P< 0.001), integrated electromyography and root mean square increased (P< 0.001), and the effect was better than that of celecoxib group (P< 0.001). The visual analog scale score in celecoxib group was lower (P< 0.001) and knee outcome survey activities of daily living scale was higher (P< 0.001). The incidence of treatment-related adverse events was 10% in the celecoxib group and 2.5% in the combined treatment group, all of which were mild. CONCLUSIONS: Hip abductors exercise training combined with repetitive transcranial magnetic stimulation can enhance abduction muscle strength, improve mobility, reduce joint pain, and enhance quality of life. This combined approach shows superior clinical effectiveness compared to oral celecoxib.

Systemic gene therapy corrects neurological phenotype in a mouse model of NGLY1 deficiency.

The cytoplasmic peptide:N-glycanase (NGLY1) is ubiquitously expressed and functions as a de-N-glycosylating enzyme that degrades misfolded N-glycosylated proteins. NGLY1 deficiency due to biallelic loss-of-function NGLY1 variants is an ultrarare autosomal recessive deglycosylation disorder with multisystemic involvement; the neurological manifestations represent the major disease burden. Currently, there is no treatment for this disease. To develop a gene therapy, we first characterized a tamoxifen-inducible Ngly1 knock-out (iNgly1) C57BL/6J mouse model, which exhibited symptoms recapitulating human disease, including elevation of the biomarker GlcNAc-Asn (GNA), motor deficits, kyphosis, Purkinje cell loss, and gait abnormalities. We packaged a codon-optimized human NGLY1 transgene cassette into two adeno-associated virus (AAV) capsids, AAV9 and AAV.PHPeB. Systemic administration of the AAV.PHPeB vector to symptomatic iNgly1 mice corrected multiple disease features at eight weeks post-treatment. Furthermore, another cohort of AAV.PHPeB-treated iNgly1 mice were monitored over a year, and showed near-complete normalization of the neurological aspects of the disease phenotype, demonstrating the durability of gene therapy. Our data suggested that brain-directed NGLY1 gene replacement via systemic delivery is a promising therapeutic strategy for NGLY1 deficiency. Although the superior CNS tropism of AAV.PHPeB vector does not translate to primate, emerging AAV capsids with enhanced primate CNS tropism will enable future translational studies.

Towards Context-Aware Emotion Recognition Debiasing from a Causal Demystification Perspective via De-confounded Training.

Understanding emotions from diverse contexts has received widespread attention in computer vision communities. The core philosophy of Context-Aware Emotion Recognition (CAER) is to provide valuable semantic cues for recognizing the emotions of target persons by leveraging rich contextual information. Current approaches invariably focus on designing sophisticated structures to extract perceptually critical representations from contexts. Nevertheless, a long-neglected dilemma is that a severe context bias in existing datasets results in an unbalanced distribution of emotional states among different contexts, causing biased visual representation learning. From a causal demystification perspective, the harmful bias is identified as a confounder that misleads existing models to learn spurious correlations based on likelihood estimation, limiting the models' performance. To address the issue, we embrace causal inference to disentangle the models from the impact of such bias, and formulate the causalities among variables in the CAER task via a customized causal graph. Subsequently, we present a Contextual Causal Intervention Module (CCIM) to de-confound the confounder, which is built upon backdoor adjustment theory to facilitate seeking approximate causal effects during model training. As a plug-and-play component, CCIM can easily integrate with existing approaches and bring significant improvements. Systematic experiments on three datasets demonstrate the effectiveness of our CCIM.

RNA helicase SKIV2L limits antiviral defense and autoinflammation elicited by the OAS-RNase L pathway.

The OAS-RNase L pathway is one of the oldest innate RNA sensing pathways that leads to interferon (IFN) signaling and cell death. OAS recognizes viral RNA and then activates RNase L, which subsequently cleaves both cellular and viral RNA, creating "processed RNA" as an endogenous ligand that further triggers RIG-I-like receptor signaling. However, the IFN response and antiviral activity of the OAS-RNase L pathway are weak compared to other RNA-sensing pathways. Here, we discover that the SKIV2L RNA exosome limits the antiviral capacity of the OAS-RNase L pathway. SKIV2L-deficient cells exhibit remarkably increased interferon responses to RNase L-processed RNA, resulting in heightened antiviral activity. The helicase activity of SKIV2L is indispensable for this function, acting downstream of RNase L. SKIV2L depletion increases the antiviral capacity of OAS-RNase L against RNA virus infection. Furthermore, SKIV2L loss exacerbates autoinflammation caused by human OAS1 gain-of-function mutations. Taken together, our results identify SKIV2L as a critical barrier to OAS-RNase L-mediated antiviral immunity that could be therapeutically targeted to enhance the activity of a basic antiviral pathway.

[Role of reactive oxygen species/silent information regulator 1 in hyperoxia-induced bronchial epithelial cell injury]. / 活性氧簇/æ²‰é»˜ä¿¡æ¯è°ƒèŠ‚å› å­1在高氧致支气管上皮细胞损伤中的作用.

OBJECTIVES: To investigate the effect of reactive oxygen species (ROS)/silent information regulator 1 (SIRT1) on hyperoxia-induced mitochondrial injury in BEAS-2B cells. METHODS: The experiment was divided into three parts. In the first part, cells were divided into H0, H6, H12, H24, and H48 groups. In the second part, cells were divided into control group, H48 group, H48 hyperoxia+SIRT1 inhibitor group (H48+EX 527 group), and H48 hyperoxia+SIRT1 agonist group (H48+SRT1720 group). In the third part, cells were divided into control group, 48-hour hyperoxia+N-acetylcysteine group (H48+NAC group), and H48 group. The ROS kit was used to measure the level of ROS. Western blot and immunofluorescent staining were used to measure the expression levels of SIRT1 and mitochondria-related proteins. Transmission electron microscopy was used to observe the morphology of mitochondria. RESULTS: Compared with the H0 group, the H6, H12, H24, and H48 groups had a significantly increased fluorescence intensity of ROS (P<0.05), the H48 group had significant reductions in the expression levels of SIRT1 protein and mitochondria-related proteins (P<0.05), and the H24 and H48 groups had a significant reduction in the fluorescence intensity of mitochondria-related proteins (P<0.05). Compared with the H48 group, the H48+SRT1720 group had significant increases in the expression levels of mitochondria-related proteins and the mitochondrial aspect ratio (P<0.05), and the H48+EX 527 group had a significant reduction in the mitochondrial area (P<0.05). Compared with the H48 group, the H48+NAC group had a significantly decreased fluorescence intensity of ROS (P<0.05) and significantly increased levels of SIRT1 protein, mitochondria-related proteins, mitochondrial area, and mitochondrial aspect ratio (P<0.05). CONCLUSIONS: The ROS/SIRT1 axis is involved in hyperoxia-induced mitochondrial injury in BEAS-2B cells.

Wastewater multiplex PCR amplicon sequencing revealed community transmission of SARS-CoV-2 lineages during the outbreak of infection in Chinese Mainland.

During the COVID-19, wastewater-based epidemiology (WBE) has become a powerful epidemic surveillance tool widely used worldwide. However, the development and application of this technology in Chinese Mainland are relatively lagging. Herein, we for the first time monitored the community circulation of SARS-CoV-2 lineages using WBE methods in Chinese Mainland. During the peak period of infection outbreak at the end of 2022, six precious sewage samples were collected from the manhole in the student dormitory area on Wangjiang Campus of Sichuan University. RT-qPCR revealed that the six sewage samples were all positive for SARS-CoV-2 RNA. Multiplex PCR amplicon sequencing of the sewage samples reflected the local transmission of SARS-CoV-2 variants. The results of two deconvolution methods indicate that the main virus lineages have clear evolutionary genetic correlations. Furthermore, the sampling time is consistent with the timeline of concern for these virus lineages, as well as the timeline of uploading the nucleic acid sequences from the corresponding lineages in Sichuan to the database. These results demonstrate the reliability of the sewage sequencing results. Multiplex PCR amplicon sequencing is by far the most powerful analytical tool of WBE, enabling quantitative detection of virus lineages transmission and evolution at the community level.

Microstructure evolution, dielectric properties, and nonlinear response of Na+-doped CdCu3Ti4O12 ceramics.

In this study, Cd1-x Na x Cu3Ti4O12 (x = 0, 0.02, 0.04, 0.06, and 0.08) ceramics were prepared via a solid-state method. The phase composition, microstructure, and defect characteristics as well as optical, dielectric, and nonlinear properties of the ceramics were systematically studied. A CuO second phase was detected in doped samples. Grain boundary precipitates, Na with a low melting point, and oxygen and cation vacancies together caused the grain size to first increase and then decrease with an increase in the Na+ doping amount. The abundant emerging cation vacancies with an increase in Na+ content led to a decrease in the optical energy band. The sample with x = 0.04 exhibited the highest ε' value (∼35 800) due to its largest grain size. Moreover, it possessed a lower tan δ (∼0.053) at 10 kHz, which was attributed to the multiplication of insulating grain boundaries. The huge dielectric constant originated from Maxwell-Wagner polarization at low frequencies and followed the internal barrier effect model. The lowest tan δ (∼0.037) and optimal nonlinear properties (α = 3.66 and E b = 3.82 kV cm-1) were obtained in the sample with x = 0.08, which were associated with its highest grain boundary resistance and barrier height. Electric modulus data proved that dielectric relaxation at low frequencies was associated with grain boundaries. Dielectric anomalies in the high temperature range were attributed to oxygen vacancies.

Effects of Plasma-Rich Protein in Musculoskeletal Injuries; Insights into Inflammatory Markers, Growth Factors and Healing: A Narrative Review.

This narrative review was planned to explore the efficacy of plasma-rich protein in musculoskeletal injuries, emphasising its impact on inflammatory markers, growth factors and the healing process. Musculoskeletal disorders pose a significant global health concern, with the plasmarich protein therapy emerging as a promising rehabilitative technique due to its potential to enhance healing. The therapy utilises the patients' cells to stimulate growth, repair tissues, and modulate inflammation, offering a shift towards patient-friendly, non-hospitalised treatment. Through the modulation of inflammatory phases, stimulation of proliferative phases, and enhancement of remodelling phases, the plasma-rich protein therapy contributes to the expedited healing of musculoskeletal injuries. Clinical evidence supports its efficacy in reducing recovery time and managing pain, underscoring its therapeutic potential in musculoskeletal rehabilitation.

A Nanocapsule System Combats Aging by Inhibiting Age-Related Angiogenesis Deficiency and Glucolipid Metabolism Disorders.

Insufficient angiogenic stimulation and dysregulated glycolipid metabolism in senescent vascular endothelial cells (VECs) constitute crucial features of vascular aging. Concomitantly, the generation of excess senescence-associated secretory phenotype (SASP) and active immune-inflammatory responses propagates within injured vessels, tissues, and organs. Until now, targeted therapies that efficiently rectify phenotypic abnormalities in senescent VECs have still been lacking. Here, we constructed a Pd/hCeO2-BMS309403@platelet membrane (PCBP) nanoheterostructured capsule system loaded with fatty acid-binding protein 4 (FABP4) inhibitors and modified with platelet membranes and investigated its therapeutic role in aged mice. PCBP showed significant maintenance in aged organs and demonstrated excellent biocompatibility. Through cyclic tail vein administration, PCBP extended the lifespan and steadily ameliorated abnormal phenotypes in aged mice, including SASP production, immune and inflammatory status, and age-related metabolic disorders. In senescent ECs, PCBP mediated the activation of vascular endothelial growth factor (VEGF) signaling and glycolysis and inhibition of FABP4 by inducing the synthesis of hypoxia-inducible factor-1α, thereby reawakening neovascularization and restoring glycolipid metabolic homeostasis. In conclusion, the PCBP nanocapsule system provides a promising avenue for interventions against aging-induced dysfunction.

Bioinspired molecular catalysts with a unique tricopper architecture for highly efficient oxygen reduction reaction.

In situ growth of intertwined trinuclear copper complexes (nCu3) on a cellulose-derived carbon support (CMC) produced a high-performance electrocatalyst (CMC-nCu3) for the oxygen reduction reaction (ORR), which demonstrated superior performance in zinc-air batteries compared to a commercial Pt/C catalyst. This work highlights the importance of copper-based molecular catalysts with rich and intertwined tricopper structures for boosting both ORR activity and stability.

A fast adaptive spatio-temporal fusion method to enhanced Fit-FC.

Space-time fusion is an economical and efficient way to solve "space-time contradiction". Among all kinds of space-time fusion methods, Fit-FC space-time fusion method based on weight Function is widely used. However, this method is based on the linear model to depict the phase change, but the phase change in the real scene is complicated, and the linear model is difficult to accurately capture the phase change, resulting in the spectral distortion of the fusion image. In addition, pixel-by-pixel scanning with moving Windows leads to inefficiency issues, limiting its use in large-scale and long-term tasks. To overcome these limitations, this paper developed a simple and fast adaptive remote sensing image Spatio-Temporal fusion method based on Fit-FC, called Adapt Lasso-Fit-FC (AL-FF). Firstly, the sparse characteristics of time phase change between images are explored, and a time phase change estimation model based on sparse regression is constructed, which overcomes the fuzzy problem of fusion image caused by the failure of linear regression to capture complex nonlinear time phase transition in the weighted Function method, making the algorithm better at capturing details. Secondly, an adaptive window selection Function is established to overcome the problem of manually setting parameters on different data sets, improve the convenience of the algorithm and robustness of the application on different data sets, and make the algorithm simpler and more efficient. Finally, the improved AL-FF algorithm is compared with other algorithms to verify the performance improvement. Compared with the current advanced Spatio-Temporal fusion methods, AL-FF algorithm has stronger detail capture ability and can generate more accurate fusion results. In addition, the computational efficiency is significantly improved, and the efficiency is increased by more than 20 times compared with the current mainstream method.

Artificial intelligence-based automatic nidus segmentation of cerebral arteriovenous malformation on time-of-flight magnetic resonance angiography.

OBJECTIVE: Accurate nidus segmentation and quantification have long been challenging but important tasks in the clinical management of Cerebral Arteriovenous Malformation (CAVM). However, there are still dilemmas in nidus segmentation, such as difficulty defining the demarcation of the nidus, observer-dependent variation and time consumption. The aim of this study isto develop an artificial intelligence model to automatically segment the nidus on Time-Of-Flight Magnetic Resonance Angiography (TOF-MRA) images. METHODS: A total of 92patients with CAVM who underwent both TOF-MRA and DSA examinations were enrolled. Two neurosurgeonsmanually segmented the nidusonTOF-MRA images,which were regarded as theground-truth reference. AU-Net-basedAImodelwascreatedfor automatic nidus detectionand segmentationonTOF-MRA images. RESULTS: The meannidus volumes of the AI segmentationmodeland the ground truthwere 5.427 ± 4.996 and 4.824 ± 4.567 mL,respectively. The meandifference in the nidus volume between the two groups was0.603 ± 1.514 mL,which wasnot statisticallysignificant (P = 0.693). The DSC,precision and recallofthe testset were 0.754 ± 0.074, 0.713 ± 0.102 and 0.816 ± 0.098, respectively. The linear correlation coefficient of the nidus volume betweenthesetwo groupswas 0.988, p < 0.001. CONCLUSION: The performance of the AI segmentationmodel is moderate consistent with that of manual segmentation. This AI model has great potential in clinical settings, such as preoperative planning, treatment efficacy evaluation, riskstratification and follow-up.

Research on Component Variation and Factors Affecting Minimum Miscible Pressure in Low Viscosity Oil Miscibility Process.

Miscible gas flooding is an important approach for enhancing the recovery of unconventional oil reservoirs. The injected gas and crude oil components has a significant impact on the minimum miscible pressure. In order to clarify the miscibility characteristics and factors influencing the minimum miscibility pressure, combining PVT and slim tube experiments, the minimum miscibility pressure between Tuha low viscosity oil and different injected gas was measured. Additionally, chromatography experiments were conducted to study the composition changes of produced oil. The results indicate that when the injection pressure is higher than the minimum miscible pressure, the extraction effect of injected gas on heavy fraction (C16+) in crude oil is enhanced and the extraction effect on light alkanes (C1-C6) is reduced. The increase in the content of light alkanes (C1-C6) and middle distillates (C7-C15) in crude oil reduces the minimum miscibility pressure between crude oil and injected gas. Pipeline gas can effectively extract heavy fraction from crude oil, but its breakthrough time is early. Under the same pressure, earlier breakthrough time of injected gas makes it more difficult for the crude oil and injected gas to miscible. Through the analysis of experimental results, the following main conclusions are drawn: Immiscible flooding causes heavy fraction (C16+) in crude oil to remain, which might affect the physical properties of the reservoir, increasing the difficulty of subsequent development. Gas fingering phenomenon significantly influences the miscibility of injected gas and crude oil, and the viscosity ratio of injected gas and crude oil under high-pressure conditions can be used as an important criterion for screening injected gas.

Case report: TP53 c.848G>A germline mutation as a possible screening target at initial diagnosis for acute lymphoblastic leukemia.

BACKGROUD: Li-Fraumeni syndrome is a hereditary tumor syndrome characterized by an elevated risk of malignancy, particularly acute lymphoblastic leukemia (ALL), which can be caused by the heterozygous germline mutation. TP53 gene germline mutation is considered a potential risk factor and crucial prognostic parameter for acute leukemia development and diagnosis, but rarely occurs in adults, and its specific pathogenic significance in acute leukemia is unclear. CASE PRESENTATION: We describes a case of a 45-year-old woman diagnosed with ALL. Whole-exome sequencing approach identified one of the TP53 germline mutations from her bone marrow sample with possible pathogenic significance, c.848G>A (p.Arg283His) heterozygous missense mutation located on exon 8, which was further verified in her hair, oral mucous and nail samples. Family pedigree screening revealed that the same TP53 genetic variant was present in the patient's father and non-donor son, whereas not in the donor. Digital PCR observed that this point mutation frequency dropped post-transplantation but remained low during maintenance therapy when the patient was leukemia-free. CONCLUSION: This suspected Li-Fraumeni syndrome case report with a likely pathogenic heterozygous TP53 variant expands the cancer genetic spectrum. Screening her family members for mutations facilitates identifying the optimal relative donor and avoids unnecessary treatment by monitoring TP53 germline mutations for minimal residual disease following hematopoietic stem cell transplantation. Its potential roles in hematological malignant tumor development and clinical pathogenic implications necessitate further probing.

Non-invasive ventral cervical magnetoneurography as a proxy of in vivo lipopolysaccharide-induced inflammation.

Maintenance of autonomic homeostasis is continuously calibrated by sensory fibers of the vagus nerve and sympathetic chain that convey compound action potentials (CAPs) to the central nervous system. Lipopolysaccharide (LPS) intravenous challenge reliably elicits a robust inflammatory response that can resemble systemic inflammation and acute endotoxemia. Here, we administered LPS intravenously in nine healthy subjects while recording ventral cervical magnetoneurography (vcMNG)-derived CAPs at the rostral Right Nodose Ganglion (RNG) and the caudal Right Carotid Artery (RCA) with optically pumped magnetometers (OPM). We observed vcMNG RNG and RCA neural firing rates that tracked changes in TNF-α levels in the systemic circulation. Further, endotype subgroups based on high and low IL-6 responders segregate RNG CAP frequency (at 30-120 min) and based on high and low IL-10 response discriminate RCA CAP frequency (at 0-30 min). These vcMNG tools may enhance understanding and management of the neuroimmune axis that can guide personalized treatment based on an individual's distinct endophenotype.

Response of changes in lake area to drought and land use change.

The lake area is a crucial parameter that characterizes the state of a lake. Under the dual pressures of climate change and human activity, the magnitude and frequency of changes in lake areas become more pronounced. This process poses a serious threat to the local ecological environment. In this study, we constructed a lake water extraction model (LakeNet) based on a fully convolutional neural network. We extracted and analyzed the spatiotemporal characteristics of the area of nine major lakes from 1987 to 2022, as well as the driving factors behind these changes. Our results indicate that: 1) LakeNet exhibits high extraction accuracy and can remove some clouds. 2) The area of the nine major lakes shows a fluctuating downward trend (-8.11km2/10a), with drought and land use changes identified as significant driving forces behind the changes in lake boundaries, drought events caused the lake area to decrease, and the expansion of cropland further reduced the lake area. 3) Due to variations in lake area, the impact of drought on the area of the nine major lakes exhibits a lag effect, smaller lakes are likely to respond more quickly to drought.

Clinical performance of the ASAS health index in chinese patients with ankylosing spondylitis and its influencing factors.

OBJECTIVE: The aim of this study was to investigate the status of health-related quality of life in Chinese patients with ankylosing spondylitis (AS) and to analyze factors associated with the Assessment of SpondyloArthritis international Society Health Index (ASAS-HI) in AS and its relationship with disease activity and psychological status. METHODS: A cross-sectional study of 484 patients with AS attending 10 hospitals in China from March 2021 to September 2023 was recruited. The ASAS-HI assessed general health and functional status; the Depression Anxiety Stress Scales (DASS-21) assessed psychological disorders such as anxiety, depression, and stress; and the Functional Assessment of Chronic illness Therapy-Fatigue Scale (FACIT-F) assessed patients' fatigue symptoms; the Ankylosing Spondylitis Disease Activity Score-C-Reactive Protein (ASDAS-CRP), Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Bath Ankylosing Spondylitis Functional Index (BASFI), and Bath Ankylosing Spondylitis Measurement Index (BASMI) were used to assess patients' disease activity and functional impairment. The correlation between ASAS-HI and the ASDAS, poor psychological status, and fatigue symptoms was observed. Univariate and multivariate logistic regression analyses were used to explore the relevant influencing factors of ASAS-HI. RESULTS: A total of 484 patients were included in this study of whom 162 were in poor health, 139 in moderate health, and 183 in good health. On univariate analysis, disease activity is an important factor affecting ASAS-HI. People with extremely high disease activity (ASDAS ≥ 3.5) had a 12 times elevated risk of having poor health status (OR = 12.53; P < 0.001). Other significant covariates included age ≥ 36 (OR = 1.58; P = 0.015), BMI ≥ 24 kg/m2 (OR = 2.93; P = 0.013), smoke (OR = 1.96; P = 0.002), BASFI (OR = 1.49; P < 0.001), BASMI (OR = 1.22; P < 0.001), fatigue (OR = 6.28; P < 0.001), and bad psychological conditions such as depression (OR = 10.86; P < 0.001), anxiety (OR = 3.88; P < 0.001), and stress (OR = 4.65; P < 0.001). The use of bMARDs is inversely associated with the appearance of adverse health status (OR = 0.54; P = 0.012). There was no significant relationship between HLA-B27 and sex. Multivariable logistic regression showed that higher disease activity (ASDAS ≥ 3.5) (OR = 5.14; P = 0.005), higher scores of BASMI (OR = 1.10; P = 0.009), self-reported depression (OR = 3.68; P = 0.007), and fatigue (OR = 2.76; P < 0.001) were factors associated with adverse health status. CONCLUSION: The health status of AS patients is related to age, BMI, smoking, disease activity, poor psychological status, and fatigue and is influenced by a combination of multiple factors such as emotional state, economic level, pain, and dysfunction. Therefore, clinicians should pay attention to the early assessment of ASAS-HI in order to improve the prognosis of the disease. Key Points •Ankylosing spondylitis (AS) is a chronic inflammatory autoimmune disease with a long course and heavy disease burden, which greatly affects patients' quality of life. Therefore, this study aims to evaluate the health status of ankylosing spondylitis in the Chinese population and its influencing factors. •This is a multi-center cross-sectional study in China, which can better reflect the overall situation of the Chinese population.