Characterization of the complete mitochondrial genome of an endemic species in China, Aulocera merlina (Lepidoptera: Nymphalidae: Satyrinae) and phylogenetic analysis within Satyrinae.

The mitochondrial genome (mitogenome) has been extensively used as molecular markers in determining the insect phylogenetic relationships. In order to resolve the relationships among tribes and subtribes of Satyrinae at the mitochondrial genomic level, we obtained the complete mitogenome of Aulocera merlina (Oberthür, 1890) (Lepidoptera: Nymphalidae: Satyrinae) with a size of 15,259 bp. The mitogenome consisted of 37 typical genes, including 13 protein-coding genes (PCGs), 2 ribosomal RNA genes (rRNAs), 22 transfer RNA genes (tRNAs), and an A + T-rich region. The gene organization and arrangement were similar to those of all other known Satyrinae mitogenomes. All PCGs were initiated with the canonical codon pattern ATN, except for the cox1 gene, which used an atypical CGA codon. Nine PCGs used the complete stop codon TAA, while the remaining PCGs (cox1, cox2, nad4, and nad5) were terminated with a single T nucleotide. The canonical cloverleaf secondary structures were found in all tRNAs, except for trnS1 which lacked a dihydrouridine arm. The 448 bp A + T-rich region was located between rrnS and trnM, and it included the motif ATAGA followed by a 19-bp poly-T stretch and a microsatellite-like (TA)6 element preceded by the ATTTA motif. The phylogenetic tree, inferred using Bayesian inference and maximum likelihood methods, generated similar tree topologies, revealing well-supported monophyletic groups at the tribe level and recovering the relationship ((Satyrini + Melanitini) + ((Amathusiini + Elymniini) + Zetherini)). The close relationship between Satyrina and Melanargiina within the Satyrini was widely accepted. Additionally, Lethina, Parargina, and Mycalesina were closely related and collectively formed a sister group to Coenonymphina. Moreover, A. merlina was closely related to Oeneis buddha within the Satyrina. These findings will provide valuable information for future studies aiming to elucidate the phylogenetic relationships of Satyrinae.

Alleviating Recombinant Tissue Plasminogen Activator-induced Hemorrhagic Transformation in Ischemic Stroke via Targeted Delivery of a Ferroptosis Inhibitor.

Intravenous thrombolysis with recombinant tissue plasminogen activator (rtPA) is the primary treatment for ischemic stroke. However, rtPA treatment can substantially increase blood-brain barrier (BBB) permeability and susceptibility to hemorrhagic transformation. Herein, the mechanism underlying the side effects of rtPA treatment is investigated and demonstrated that ferroptosis plays an important role. The ferroptosis inhibitor, liproxstatin-1 (Lip) is proposed to alleviate the side effects. A well-designed macrocyclic carrier, glucose-modified azocalix[4]arene (GluAC4A), is prepared to deliver Lip to the ischemic site. GluAC4A bound tightly to Lip and markedly improved its solubility. Glucose, modified at the upper rim of GluAC4A, imparts BBB targeting to the drug delivery system owing to the presence of glucose transporter 1 on the BBB surface. The responsiveness of GluAC4A to hypoxia due to the presence of azo groups enabled the targeted release of Lip at the ischemic site. GluAC4A successfully improved drug accumulation in the brain, and Lip@GluAC4A significantly reduced ferroptosis, BBB leakage, and neurological deficits induced by rtPA in vivo. These findings deepen the understanding of the side effects of rtPA treatment and provide a novel strategy for their effective mitigation, which is of great significance for the treatment and prognosis of patients with ischemic stroke.

A p21-ATD mouse model for monitoring and eliminating senescent cells and its application in liver regeneration post injury.

Cellular senescence associates with pathological aging and tissue dysfunctions. Studies utilizing mouse models for cell lineage tracings have emphasized the importance of senescence heterogeneity in different organs and cell types. Here, we constructed a p21- (Akaluc - tdTomato - Diphtheria Toxin Receptor [DTR]) (ATD) mouse model to specifically study the undefined mechanism for p21-expressing senescent cells in the aged and liver injury animals. The successful expressions of these genes enabled in vitro flow cytometric sorting, in vivo tracing, and elimination of p21-expressing senescent cells. During the natural aging process, p21-expressing cells were found in various tissues of p21-ATD mice. Eliminating p21-expressing cells in the aged p21-ATD mice recovered their multiple biological functions. p21-ATD/Fah-/- mice, bred from p21-ATD mice and fumarylacetoacetate hydrolase (Fah)-/- mice of liver injury, showed that the majority of their senescent hepatocytes were the phenotype of p21+ rather than p16+. Furthermore, eliminating the p21-expressing hepatocytes significantly promoted the engraftment of grafted hepatocytes and facilitated liver repopulation, resulting in significant recovery from liver injury. Our p21-ATD mouse model serves as an optimal model for studying the pattern and function of p21-expressing senescent cells under the physical and pathological conditions during aging.

Alterations in peripheral T- and B-cell subsets in patients with systemic sclerosis.

OBJECTIVES: To determine the alteration of peripheral T and B cell subsets in patients with systemic sclerosis (SSc) and to evaluate their correlation with the progression of SSc. METHODS: We recruited 47 SSc patients and 45 healthy controls (HCs) in this study. Demographic and clinical data were then collected. Flow cytometry was used to detect the proportions of 44 different T and B cell subsets in circulating blood. RESULTS: The proportion of total B cells (p = .043) decreased in SSc patients, together with similar frequencies of total T cells, CD4+ T cells, and CD8+ T cells in both groups. Several subsets of T and B cells differed significantly between these two groups. Follicular helper T cells-1 (Tfh1) (p < .001), helper T cells-1 (Th1) (p = .001), regulatory T cells (Treg) (p = .004), effector memory CD8+ T cells (p = .041), and cytotoxic T cells-17 (Tc17) (p = .01) were decreased in SSc patients. Follicular helper T cells-2 (Tfh2) (p = .001) and, helper T cells-2 (Th2) (p = .001) levels increased in the SSc group. Regulatory B cells (Breg) (p = .015) were lower in the SSc group, together with marginal zone (MZ) B cells (p < .001), memory B cells (p = .001), and non-switched B cells (p = .005). The modified Rodnan skin score (mRSS) correlated with helper T cells-17 (Th17) (r = -.410, p = .004), Tfh1 (r = -.321, p = .028), peripheral helper T cells (Tph) (r = -.364, p = .012) and plasma cells (r = -.312, p = .033). CONCLUSIONS: The alterations in T and B cells implied immune dysfunction, which may play an essential role in systemic sclerosis.

Predictive Value of Magnetic Resonance Imaging Radiomics Combined with Serum PSA for the Extracapsular Extension of Prostate Cancer Prediction.

OBJECTIVE: We aimed to investigate the value of magnetic resonance imaging (MRI) radiomics combined with serum prostate-specific antigen (PSA) in predicting the extracapsular extension (ECE) of prostate cancer. METHODS: In total, 213 patients with prostate cancer admitted to our hospital from May 2021 to April 2023 were retrospectively enrolled as observation subjects. Based on the presence or absence of extracapsular extension, the patients were divided into occurrence (n = 70) and non-occurrence (n = 143) groups. The clinical data, PSA levels, Prostate Imaging Reporting and Data System (PI-RADS®), and MRI-ECE scores of the two groups were compared. RESULTS: In total, 80 patients were included in the occurrence (n = 40) and non-occurrence groups (n = 40), and no statistical significance was observed in the baseline data of the two groups. Preoperative PSA levels were significantly higher in the occurrence group than in the non-occurrence group, and the PI-RADS and MRI-ECE scores of each group differed significantly (p < 0.05). The area under the curve (AUC) for the combined determination of PSA levels and PI-RADS and MRI-ECE scores was 0.900, which was significantly higher than the AUC for the individual determination of the mentioned indicators (p < 0.05). CONCLUSIONS: The combination of MRI radiomics and PSA can accurately predict the extracapsular extension of prostate cancer; Thus, it is a favorable reference for subsequent precise diagnosis and treatment.

Predicting slight freezing of gait in Parkinson's disease with anticipatory postural adjustments and limits of stability.

INTRODUCTION: Gait initiation (GI) includes automatic and voluntary movements. However, research on their impact on the first step in patients with Parkinson's disease (PD) and their relationship to freezing of gait (FOG) is lacking. We examined the effects of automatic movements (anticipatory postural adjustments [APAs]) and voluntary movements (limits of stability [LOS]) on the first step (first-step duration and first-step range of motion), along with their early recognition and prediction of slight FOG. METHODS: Twenty-three patients with PD and slight freezing (PD + FOG) and 25 non-freezing patients with PD (PD-FOG) were tested while off medications and compared with 24 healthy controls (HC). All participants completed a 7-m Stand and Walk Test (7 m SAW) and wore inertial sensors to quantify the APAs and first step. LOS was quantified by dynamic posturography in different directions using a pressure platform. We compared differences among all three groups, analysed correlations, and evaluated their predictive value for slight FOG. RESULTS: In PD + FOG, APAs and LOS were worse than those in the PD-FOG and HC groups (p < 0.001), and the first step was worse than that in HC (p < 0.001). APAs were correlated mainly with the first-step duration. APAs and LOS were correlated with the first-step range of motion. APAs have been recognized as independent predictors of FOG, and their combination with LOS enhances predictive sensitivity. CONCLUSION: APAs and LOS in patients with PD directly affect the first step during GI. In addition, the combination of APAs and LOS helped predict slight FOG.

The role of peripheral inflammation-related biomarkers in distinguishing Parkinson's disease.

BACKGROUND: Peripheral inflammation plays a significant role in Parkinson's disease (PD). Conflicting studies on whether inflammatory indicators in blood could serve as biomarkers to distinguish PD. OBJECTIVE: Include a wider range of biomarkers and control confounding factors to comprehensively evaluate the value of peripheral inflammation-related indicators. METHODS: A total of 80 PD patients were recruited and 80 one-to-one matched healthy controls (HCs). The levels of B-cell, T-cell, and natural killer (NK)-cell in blood were measured using flow cytometry. The levels of neurodegeneration-related proteins in serum were detected and clinical blood test results were collected. Multivariable logistic regression analysis was conducted to explore the role of significant variables in PD. Receiver operating characteristic curve analysis was performed to assess the potential value of these variables. RESULTS: Compared to HCs, PD patients showed lower levels of lymphocyte, B-cell, T-cell, high-density lipoprotein cholesterol (HDL-C) and lymphocyte-to-monocyte ratio, while the levels of neutrophil, NK-cell, ß-amyloid40, neurofilament light chain, neutrophil-to-lymphocyte ratio, and neutrophil-to-HDL-C ratio (NHR) were increased. A higher B-cell count was associated with a lower risk of PD, while higher levels of NK-cell and NHR were associated with a higher risk of PD. B-cell, NK-cell and NHR have potential value in distinguishing PD from non-PD. B-cell and NHR levels were significantly correlated with PD dyskinesia scores. CONCLUSIONS: B-cell, NK-cell, and NHR may potentially contribute to distinguishing PD patients from HCs. There could be a correlation between the number of B-cell, the level of NHR, and the severity of PD dyskinesia.

Predictive Value of Magnetic Resonance Imaging Radiomics Combined with Serum PSA for the Extracapsular Extension of Prostate Cancer Prediction

Objective: We aimed to investigate the value of magnetic resonance imaging (MRI) radiomics combined with serum prostate-specific antigen (PSA) in predicting the extracapsular extension (ECE) of prostate cancer. Methods: In total, 213 patients with prostate cancer admitted to our hospital from May 2021 to April 2023 were retrospectively enrolled as observation subjects. Based on the presence or absence of extracapsular extension, the patients were divided into occurrence (n = 70) and non-occurrence (n = 143) groups. The clinical data, PSA levels, Prostate Imaging Reporting and Data System (PI-RADS®), and MRI-ECE scores of the two groups were compared. Results: In total, 80 patients were included in the occurrence (n = 40) and non-occurrence groups (n = 40), and no statistical significance was observed in the baseline data of the two groups. Preoperative PSA levels were significantly higher in the occurrence group than in the non-occurrence group, and the PI-RADS and MRI-ECE scores of each group differed significantly (p < 0.05). The area under the curve (AUC) for the combined determination of PSA levels and PI-RADS and MRI-ECE scores was 0.900, which was significantly higher than the AUC for the individual determination of the mentioned indicators (p < 0.05). Conclusions: The combination of MRI radiomics and PSA can accurately predict the extracapsular extension of prostate cancer; Thus, it is a favorable reference for subsequent precise diagnosis and treatment. (AU)

Multi-omics reveals different impact patterns of conventional and biodegradable microplastics on the crop rhizosphere in a biofertilizer environment.

Microplastics (MPs) from the incomplete degradation of agricultural mulch can stress the effectiveness of biofertilizers and ultimately affect the rhizosphere environment of crops. Yet, the involved mechanisms are poorly known and robust empirical data is generally lacking. Here, conventional polyethylene (PE) MPs and poly(butylene adipate-co-butylene terephthalate) (PBAT) / poly(lactic acid) (PLA) biodegradable MPs (PBAT-PLA BioMPs) were investigated to assess their potential impact on the rhizosphere environment of Brassica parachinensis in the presence of Bacillus amyloliquefaciens biofertilizer. The results revealed that both MPs caused different levels of inhibited crop both above- and belowground crop biomass (up to 50.11% and 57.09%, respectively), as well as a significant decrease in plant height (up to 48.63% and 25.95%, respectively), along with an imbalance of microbial communities. Transcriptomic analyses showed that PE MPs mainly affected root's vitamin metabolism, whereas PBAT-PLA BioMPs mainly interfered with the lipid's enrichment. Metabolomic analyses further indicated that PE MPs interfered with amino acid synthesis that involved in crops' oxidative stress, and that PBAT-PLA BioMPs mainly affected the pathways associated with root growth. Additionally, PBAT-PLA BioMPs had a bigger ecological negative impact than did PE MPs, as evidenced by more pronounced alterations in root antioxidant abilities, a higher count of identified differential metabolites, more robust interrelationships among rhizosphere parameters, and a more intricate pattern of impacts on rhizosphere metrics. This study highlights the MPs' impact on crop rhizosphere in a biofertilizer environment from a rhizosphere multi-omics perspective, and has theoretical implications for scientific application of biofertilizers.

Biodegradable microplastics reduce the effectiveness of biofertilizers by altering rhizospheric microecological functions.

The effectiveness of biofertilizers as a cost-effective crop yield enhancer can be compromised by residual soil pollutants. However, the impact of accumulated polyadipate/butylene terephthalate microplastics (PBAT-MPs) from biodegradable mulch films on biofertilizer application and the consequent growth of crop plants remains unclear. Here, the effects of different levels of PBAT-MPs in soil treated with Bacillus amyloliquefaciens biofertilizer were assessed in a four-week potted experiment. PBAT-MPs significantly decreased the growth-promoting effect of the biofertilizer on Brassica chinensis L., resulting in a notable reduction in both above- and belowground biomass (up to 52.91% and 57.53%, respectively), as well as nitrate and crude fiber contents (up to 12.18% and 13.64%, respectively). In the rhizosphere microenvironment, PBAT-MPs increased soil organic carbon by 2.63-fold and organic matter by 2.68-fold, while enhancing sucrase (from 67.55% to 108.89%) and cellulase (from 31.26% to 49.10%) activities. PBAT-MPs also altered the rhizospheric bacterial community composition/diversity, resulting in more complex microbial networks. With regard to microbial function, PBAT-MPs impacted carbon metabolic function by inhibiting the 3-hydroxypropionate/4-hydroxybutyrate fixation pathway and influencing chitin and lignin degradation processes. Overall, the rhizospheric microbial profiles (composition, function, and network interactions) were the main contributors to plant growth inhibition. This study provides a practical case and theoretical basis for rational use of biodegradable mulch films and indicates that the residue of biodegradable films needs pay attention.

Immobilized Tetraalkylammonium Cations Enable Metal-free CO2 Electroreduction in Acid and Pure Water.

Carbon dioxide reduction reaction (CO2 RR) provides an efficient pathway to convert CO2 into desirable products, yet its commercialization is greatly hindered by the huge energy cost due to CO2 loss and regeneration. Performing CO2 RR under acidic conditions containing alkali cations can potentially address the issue, but still causes (bi)carbonate deposition at high current densities, compromising product Faradaic efficiencies (FEs) in present-day acid-fed membrane electrode assemblies. Herein, we present a strategy using a positively charged polyelectrolyte-poly(diallyldimethylammonium) immobilized on graphene oxide via electrostatic interactions to displace alkali cations. This enables a FE of 85 %, a carbon efficiency of 93 %, and an energy efficiency (EE) of 35 % for CO at 100 mA cm-2 on modified Ag catalysts in acid. In a pure-water-fed reactor, we obtained a 78 % CO FE with a 30 % EE at 100 mA cm-2 at 40 °C. All the performance metrics are comparable to or even exceed those attained in the presence of alkali metal cations.

Effects of microplastics on photosynthesized C allocation in a rice-soil system and its utilization by soil microbial groups.

The effect of microplastics (MPs) on the allocation of rice photosynthetic carbon (C) in paddy systems and its utilization by soil microorganisms remain unclear. In this study, 13C-CO2 pulse labeling was used to quantify the input and allocation of photosynthetic C in a rice-soil system under MPs amendment. Rice was pulse-labeled at tillering growth stage under 0.01% and 1% w/w polyethylene (PE) and polyvinyl chloride (PVC) MP amendments. Plants and soils were sampled 24 h after pulse labeling. Photosynthesized C in roots in MP treatments was 30-54% lower than that in no-MP treatments. The 13C in soil organic C (SOC) in PVC-MP-amended bulk soil was 4.3-4.7 times higher than that in no-MP treatments. PVC and high-dose PE increased the photosynthetic C in microbial biomass C in the rhizosphere soil. MPs altered the allocation of photosynthetic C to microbial phospholipid fatty acid (PLFA) groups. High-dose PVC increased the 13C gram-positive PLFAs. Low-dose PE and high-dose PVC enhanced 13C in fungal PLFAs in bulk soil (including arbuscular mycorrhizal fungi (AMF) and Zygomycota) by 175% and 197%, respectively. The results highlight that MPs alter plant C input and microbial utilization of rhizodeposits, thereby affecting the C cycle in paddy ecosystems.

Hepatitis B core-related antigen dynamics and risk of subsequent clinical relapses after nucleos(t)ide analog cessation.

BACKGROUND/AIMS: Finite nucleos(t)ide analog (NA) therapy has been proposed as an alternative treatment strategy for chronic hepatitis B (CHB), but biomarkers for post-treatment monitoring are limited. We investigated whether measuring hepatitis B core-related antigen (HBcrAg) after NA cessation may stratify the risk of subsequent clinical relapse (CR). METHODS: This retrospective multicenter analysis enrolled adults with CHB who were prospectively monitored after discontinuing entecavir or tenofovir with negative HBeAg and undetectable HBV DNA at the end of treatment (EOT). Patients with cirrhosis or malignancy were excluded. CR was defined as serum alanine aminotransferase > two times the upper limit of normal with recurrent viremia. We applied time-dependent Cox proportional hazard models to clarify the association between HBcrAg levels and subsequent CR. RESULTS: The cohort included 203 patients (median age, 49.8 years; 76.8% male; 60.6% entecavir) who had been treated for a median of 36.9 months (interquartile range [IQR], 36.5-40.1). During a median post-treatment follow-up of 31.7 months (IQR, 16.7-67.1), CR occurred in 104 patients with a 5-year cumulative incidence of 54.8% (95% confidence interval [CI], 47.1-62.4%). Time-varying HBcrAg level was a significant risk factor for subsequent CR (adjusted hazard ratio [aHR], 1.53 per log U/mL; 95% CI, 1.12-2.08) with adjustment for EOT HBsAg, EOT anti-HBe, EOT HBcrAg and time-varying HBsAg. During follow-up, HBcrAg <1,000 U/mL predicted a lower risk of CR (aHR, 0.41; 95% CI, 0.21-0.81). CONCLUSION: Dynamic measurement of HBcrAg after NA cessation is predictive of subsequent CR and may be useful to guide post-treatment monitoring.

Diagnostic delay and its associated factors in Chinese axial spondyloarthritis: A single-center study of 1295 patients.

AIM: To delineate the landscape of diagnostic delay in Chinese axial spondyloarthritis (axSpA), investigate its associated factors, and explore its potential impact on medication modalities. METHODS: A total of 1295 patients fulfilling the ASAS classification criteria were obtained. Demographic and clinical data were collected through face-to-face interviews, based on predesigned questionnaires and available medical records. Logistic regression analyses under univariate and multivariable model were performed, using the median of diagnostic delay as the cut-off point for group classification. Differences between early- and late-diagnosed groups were subsequently compared by the Pearson chi-square test or Mann-Whitney U test. RESULTS: Of 1295 axSpA patients, 80.3% were male and the median of disease duration was 8.0 years. The median (IQR) diagnostic delay in Chinese axSpA was 3.0 (1.0 ~ 7.0) years and 24.8% of them reported a history of misdiagnosis. Older age at onset (OR = 0.97, p < .001) and higher education attainment (p = .001) were correlated with early diagnosis of axSpA, whereas coming from less developed areas (p = .002), a history of peripheral arthritis at the time of diagnosis (OR = 1.58, p = .002) and history of misdiagnosis (OR = 1.98, p < .001) increased the risk of diagnostic delay. Oral medication modalities were similar between two groups, but the proportion with no medication ever was higher in the late-diagnosed group (26.5% vs. 20.7%, p = .02). CONCLUSION: Our findings depicted a detailed spectrum of diagnostic delay in Chinese axSpA, verified five associated factors that may help facilitate timely diagnosis of axSpA, and pinpointed that timely medication was unsatisfying, especially in the late diagnosis group.

Challenges and Advances in Rechargeable Batteries for Extreme-Condition Applications.

Rechargeable batteries are widely used as power sources for portable electronics, electric vehicles and smart grids. Their practical performances are, however, largely undermined under extreme conditions, such as in high-altitude drones, ocean exploration and polar expedition. These extreme environmental conditions not only bring new challenges for batteries but also incur unique battery failure mechanisms. To fill in the gap, it is of great importance to understand the battery failure mechanisms under different extreme conditions and figure out the key parameters that limit battery performances. In this review, the authors start by investigating the key challenges from the viewpoints of ionic/charge transfer, material/interface evolution and electrolyte degradation under different extreme conditions. This is followed by different engineering approaches through electrode materials design, electrolyte modification and battery component optimization to enhance practical battery performances. Finally, a short perspective is provided about the future development of rechargeable batteries under extreme conditions.

fNIRS-based graph frequency analysis to identify mild cognitive impairment in Parkinson's disease.

BACKGROUND: Early identification of mild cognitive impairment (MCI) is essential for its treatment and the prevention of dementia in Parkinson's disease (PD). Existing approaches are mostly based on neuropsychological assessments, while brain activation and connection have not been well considered. NEW METHOD: This paper presents a neuroimaging-based graph frequency analysis method and the generated features to quantify the brain functional neurodegeneration and distinguish between PD-MCI patients and healthy controls. The Stroop color-word experiment was conducted with 20 PD-MCI patients and 34 healthy controls, and the brain activation was recorded with functional near-infrared spectroscopy (fNIRS). Then, the functional brain network was constructed based on Pearson's correlation coefficient calculation between every two fNIRS channels. Next, the functional brain network was represented as a graph and decomposed in the graph frequency domain through the graph Fourier transform (GFT) to obtain the eigenvector matrix. Total variation and weighted zero crossings of eigenvectors were defined and integrated to quantify functional interaction between brain regions and the spatial variability of the brain network in specific graph frequency ranges, respectively. After that, the features were employed in training a support vector machine (SVM) classifier. RESULTS: The presented method achieved a classification accuracy of 0.833 and an F1 score of 0.877, significantly outperforming existing methods and features. COMPARISON WITH EXISTING METHODS: Our method provided improved classification performance in the identification of PD-MCI. CONCLUSION: The results suggest that the presented graph frequency analysis method well identify PD-MCI patients and the generated features promise functional brain biomarkers for PD-MCI diagnosis.

Effective DBS treatment improves neural information transmission of patients with disorders of consciousness: an fNIRS study.

Objective.Deep brain stimulation (DBS) is a potential treatment that promotes the recovery of patients with disorders of consciousness (DOC). This study quantified the changes in consciousness and the neuromodulation effect of DBS on patients with DOC.Approach.Eleven patients were recruited for this study which consists of three conditions: 'Pre' (two days before DBS surgery), 'Post-On' (one month after surgery with stimulation), and 'Post-Off' (one month after surgery without stimulation). Functional near-infrared spectroscopy (fNIRS) was recorded from the frontal lobe, parietal lobe, and occipital lobe of patients during the experiment of auditory stimuli paradigm, in parallel with the coma recovery scale-revised (CRS-R) assessment. The brain hemodynamic states were defined and state transition acceleration was taken to quantify the information transmission strength of the brain network. Linear regression analysis was conducted between the changes in regional and global indicators and the changes in the CRS-R index.Main results.Significant correlation was observed between the changes in the global transition acceleration indicator and the changes in the CRS-R index (slope = 55.910,p< 0.001,R2= 0.732). For the regional indicators, similar correlations were found between the changes in the frontal lobe and parietal lobe indicators and the changes in the CRS-R index (slope = 46.612,p< 0.01,R2= 0.694; slope = 47.491,p< 0.01,R2= 0.676).Significance.Our study suggests that fNIRS-based brain hemodynamics transition analysis can signify the neuromodulation effect of DBS treatment on patients with DOC, and the transition acceleration indicator is a promising brain functional marker for DOC.