Mapping of repeat-associated non-AUG (RAN) translation knowledge: A bibliometric analysis

Over 50 genetic human disorders are attributed to the irregular expansion of microsatellites. These expanded microsatellite sequences can experience bidirectional transcription, leading to new reading frames. Beyond the standard AUG initiation or adjacent start codons, they are translated into proteins characterized by disease-causing amino acid repeats through repeat-associated non-AUG translation. Despite its significance, there's a discernible gap in comprehensive and objective articles on RAN translation. This study endeavors to evaluate and delineate the contemporary landscape and progress of RAN translation research via a bibliometric analysis. We sourced literature on RAN translation from the Web of Science Core Collection. Utilizing two bibliometric analysis tools, CiteSpace and VOSviewer, we gauged individual impacts and interactions by examining annual publications, journals, co-cited journals, countries/regions, institutions, authors, and co-cited authors. Following this, we assessed the co-occurrence and bursts of keywords and co-cited references to pinpoint research hotspots and trending in RAN translation. Between 2011 and 2022, 1317 authors across 359 institutions from 34 countries/regions contributed to 250 publications on RAN translation, spread across 118 academic journals. This article presents a systematic, objective, and comprehensive analysis of the current literature on RAN translation. Our findings emphasize that mechanisms related to C9orf72 ALS/FTD are pivotal topics in the realm of RAN translation, with cellular stress and the utilization of small molecule marking the trending research areas.

Atrial Cardiomyopathy Predicts the Functional Outcome and Mortality in Stroke Patients

AIM

Atrial cardiomyopathy (ACM) is characterized by atrial dysfunction. This study aims to assess the prognostic significance of ACM in patients with noncardioembolic stroke (NCS).

METHODS

Patients with NCS within seven days of onset were prospectively enrolled between January 2019 and December 2020. ACM was defined as either an N-terminal pro-brain natriuretic peptide (NT-pro BNP) ＞250 pg/ml or a P-terminal force in precordial lead V1 (PTFV1) ≥ 5000µV·ms. A poor functional outcome was determined as a score of 3-6 on the modified Rankin Scale (mRS) within a 2-year follow-up period. Logistic regression and Cox regression analyses were employed to examine the relationship between ACM and the long-term prognosis of patients with NCS.

RESULTS

A total of 1,346 patients were enrolled, of whom 299 (22.2%) patients were diagnosed with ACM. A total of 207(15.4%) patients experienced a poor functional outcome, and 58 (4.3%) patients died. A multivariate logistic regression analysis indicated that ACM was significantly associated with a poor functional outcome in NCS patients [adjusted odds ratio (aOR): 2.01; 95% confidence interval (CI): 1.42-2.87; p＜0.001]. Additionally, a multivariate Cox regression analysis showed that an NT-pro BNP ＞250 pg/ml was significantly associated with an increased risk of all-cause mortality [adjusted hazard ratio (aHR), 2.51; 95% CI: 1.42-4.43; p=0.001].

CONCLUSIONS

ACM may serve as a novel predictor of a poor long-term functional outcome in patients with NCS. Elevated NT-pro BNP levels (＞250 pg/ml) were found to be associated with a higher risk of all-cause mortality. These findings warrant further validation in multicenter studies.

Plasma neurofilament light as a promising biomarker in neuronal intranuclear inclusion disease

Neuronal intranuclear inclusion disease (NIID) is a rare neurodegenerative disorder lacking reliable biomarkers. This study investigates plasma protein levels as potential biomarkers of disease severity and progression in NIID. In this study, we enrolled 30 NIID patients and 36 age- and sex-matched controls, following them for 1-2 years. Plasma neurofilament light (NfL), glial fibrillary acidic protein (GFAP), ubiquitin carboxy-terminal hydrolase L1 (UCH-L1), and tau were measured using ultrasensitive single molecule array (Simoa) assays. Disease severity was evaluated with the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Activities of Daily Living (ADL), and CNS symptom counts, in addition to neuroimaging data. Our study revealed that NIID patients has significantly higher plasma NfL (median, 35.2 vs. 8.61 pg/mL, p < 0.001) and GFAP (102 vs. 79.0 pg/mL, p = 0.010) levels compared to controls, with NfL emerging as a robust diagnostic marker (AUC = 0.956). NfL levels were notably higher in acute-onset NIID (77.5 vs. 28.8 pg/mL, p = 0.001). NfL correlated strongly with disease severity, including MMSE (ρ = - 0.687, p < 0.001), MoCA (ρ = - 0.670, p < 0.001), ADL (ρ = 0.587, p = 0.001), CNS symptoms (ρ = 0.369, p = 0.045), and white matter hyperintensity volume (ρ = 0.620, p = 0.004). Higher baseline NfL (≥ 35.2 pg/mL) associated with increased ADL scores, CNS symptoms, and white matter hyperintensity at follow-up. UCH-L1 and total tau levels showed no significant differences. Our results suggested the potential of NfL as a promising biomarker of disease severity and progression in NIID.

Vitamin D and ischemic stroke - Association, mechanisms, and therapeutics

Confronting the rising tide of ischemic stroke and its associated mortality and morbidity with ageing, prevention and acute management of ischemic stroke is of paramount importance. Mounting observational studies have established a non-linear association of vitamin D status with cardiovascular diseases, including ischemic stroke. Paradoxically, current clinical trials fail to demonstrate the cardiovascular benefits of vitamin D supplementation. We aim to update recent clinical and experimental findings on the role of vitamin D in the disease course of ischemic stroke, from its onset, progression, recovery, to recurrence, and the established and alternative possible pathophysiological mechanisms. This review justifies the necessities to address stroke etiological subtypes and focus on vitamin D-deficient subjects for investigating the potential of vitamin D supplementation as a preventive and therapeutic approach for ischemic stroke. Well-powered clinical trials are warranted to determine the efficacy, safety, timing, target individuals, optimal dosages, and target 25OHD concentrations of vitamin D supplementation in the prevention and treatment of ischemic stroke.

Cerebral hemodynamics and stroke risks in symptomatic intracranial atherosclerotic stenosis with internal versus cortical borderzone infarcts: A computational fluid dynamics study

There may be different mechanisms underlying internal (IBZ) and cortical (CBZ) borderzone infarcts in intracranial atherosclerotic stenosis. In 84 patients with symptomatic, 50-99% atherosclerotic stenosis of M1 middle cerebral artery (MCA-M1) with acute borderzone infarcts in diffusion-weighted imaging, we classified the infarct patterns as isolated IBZ (n = 37), isolated CBZ (n = 31), and IBZ+CBZ (n = 16) infarcts. CT angiography-based computational fluid dynamics models were constructed to quantify translesional, post-stenotic to pre-stenotic pressure ratio (PR) in the MCA-M1 lesion. Those with IBZ infarcts were more likely to have a low PR (indicating impaired antegrade flow across the lesion) than those without (p = 0.012), and those with CBZ infarcts were more likely to have coexisting small cortical infarcts (indicating possible embolism) than those without (p = 0.004). In those with isolated IBZ or CBZ infarcts, low PR was independently associated with isolated IBZ infarcts (adjusted odds ratio = 4.223; p = 0.026). These two groups may also have different trajectories in the stroke risks under current medical treatment regimen, with a higher risk of same-territory ischemic stroke recurrence within 3 months in patients with isolated IBZ infarcts than isolated CBZ infarcts (17.9% versus 0.0%; log-rank p = 0.023), but similar risks later in 1 year.

Analysis of the Relationship between Recent Small Subcortical Infarcts and Autonomic Nervous Dysfunction

OBJECTIVE

Autonomic Nervous System (ANS) dysfunction may be involved in the pathogenesis of Cerebral Small Vessel Disease (CSVD). The study aimed to explore the relationship between Recent Small Subcortical Infarct (RSSI) and Blood Pressure Variability (BPV), and Heart Rate Variability (HRV).

METHODS

A total of 588 patients from the CSVD registration research database of Henan Province were included in this study, and were divided into two groups according to the presence of RSSI. Clinical data, including demographic characteristics, disease history, laboratory indexes, 24-hour ambulatory blood pressure and electrocardiogram indicators, and imaging markers of CSVD, were collected. Univariate and binary logistic regression analyses were used to study the relationship between RSSI and indicators of laboratory, HRV and BPV in the CSVD population.

RESULTS

Multivariate analysis showed that higher 24-hour mean Diastolic Blood Pressure (DBP)[Odds Ratios (OR)=1.083,95% Confidence Intervals (CI)=(1.038,1.129), p < 0.001], Standard Deviation (SD) of 24-hour DBP [OR=1.059,95%CI=(1.000,1.121), p = 0.049], nocturnal mean Systolic Blood Pressure (SBP) [OR=1.020,95%CI=(1.004,1.035), p = 0.012], nocturnal mean DBP [OR=1.025,95%CI=(1.009,1.040), p = 0.002] were independent risk factors for RSSI. In contrast, the decrease of the standard deviation of N-N intervals (SDNN) [OR=0.994,95%CI=(0.989,1.000), p = 0.035] was beneficial to the occurrence of RSSI. In addition, neutrophil counts [OR=1.138,95%CI=(1.030,1.258), p = 0.011], total cholesterol (TC) [OR=1.203,95%CI=(1.008,1.437), p = 0.041] and High-Density Lipoprotein (HDL) [OR=0.391, 95%CI=(0.195,0.786), p = 0.008] were also independently associated with the occurrence of RSSI. After adjusting for confounding factors, except for TC, the other factors remained associated with the occurrence of RSSI.

CONCLUSION

Increased 24-hour mean DBP, nocturnal mean SBP and DBP, SD of 24-hour DBP and decreased SDNN were independently correlated with RSSI occurrence, suggesting that sympathetic overactivity plays a role in the pathogenesis of RSSI.

Global, regional, and national burden of stroke attributable to extreme low temperatures, 1990-2019: A global analysis

BACKGROUND

Extreme ambient temperatures have been linked to increased risks of stroke morbidity and mortality. However, global estimates of the burden of stroke due to extreme low temperatures are not well-defined.

AIMS

This study aimed to determine the global burden of stroke due to extreme low temperatures and its spatiotemporal trend from 1990 to 2019.

METHODS

Based on the Global Burden of Disease Study 2019, we obtained global, regional, and national data on deaths, disability-adjusted life years (DALYs), age-standardized mortality rate (ASMR), and age-standardized rate of DALYs (ASDR) of stroke attributed to extreme low temperatures, further stratified by age, sex, and sociodemographic index (SDI).

RESULTS

Globally, in 2019, an estimated 474,000 stroke deaths with the corresponding ASMR (6.2 (95% uncertainty interval (UI): 4.6-7.9)) and ASDR (103.9 (95% UI: 77.0-134.5)) per 100,000 population, were attributable to extreme low temperatures. The most significant burden was observed in Central Asia, followed by Eastern Europe and East Asia. From 1990 to 2019, the global burden of stroke and its subtypes (ischemic stroke, intracerebral hemorrhage, and subarachnoid hemorrhage) attributable to extreme low temperatures exhibited a decrease in both ASMR and ASDR. Significant decreases in stroke burden occurred in the high-SDI regions, high-income Asia Pacific, and subarachnoid hemorrhage cases. Moreover, the ASMR and ASDR increased with age and were higher in males than females.

CONCLUSION

The global stroke burden due to extreme low temperatures remains high despite a decreasing trend over the past three decades. The stroke burden due to extreme low temperatures was more notable for Central Asia, older people, and the male sex.

Type I Interferon Signalling and Ischemic Stroke: Mechanisms and Therapeutic Potentials

Type I interferon (IFN-I) signalling is intricately involved in the pathogenesis of multiple infectious diseases, autoimmune diseases, and neurological diseases. Acute ischemic stroke provokes overactivation of IFN-I signalling within the injured brain, particularly in microglia. Following cerebral ischemia, damage-associated molecular patterns (DAMPs) released from injured neural cells elicit marked proinflammatory episodes within minutes. Among these, self-nucleic acids, including nuclear DNA and mitochondrial DNA (mtDNA), have been recognized as a critical alarm signal to fan the flames of neuroinflammation, predominantly via inducing IFN-I signalling activation in microglia. The concept of interferon-responsive microglia (IRM), marked by upregulation of a plethora of IFN-stimulated genes, has been emergingly elucidated in ischemic mouse brains, particularly in aged ones. Among the pattern recognition receptors responsible for IFN-I induction, cyclic GMP-AMP synthase (cGAS)-stimulator of interferon genes (STING) plays integral roles in potentiating microglia-driven neuroinflammation and secondary brain injury after cerebral ischemia. Here, we aim to provide an up-to-date review on the multifaceted roles of IFN-I signalling, the detailed molecular and cellular mechanisms leading to and resulting from aberrant IFN-I signalling activation after cerebral ischemia, and the therapeutic potentials. A thorough exploration of these above points will inform our quest for IFN-based therapies as effective immunomodulatory therapeutics to complement the limited repertoire of thrombolytic agents, thereby facilitating the translation from bench to bedside.

Clinical features and associated factors of coexisting intracerebral hemorrhage in patients with cerebral small vessel disease: a cross-sectional study

Intracerebral hemorrhage (ICH) is generally considered to be closely related to cerebral small vessel disease (CSVD), leading to a poor prognosis. However, the coexistence of ICH in general CSVD patients and related factors remain underreported. In our cross-sectional study, we screened 414 CSVD patients from a database at the Department of Neurology, First Affiliated Hospital of Zhengzhou University (September 2018 to April 2022). Imaging biomarkers of CSVD and coexisting ICH lesion were assessed. Factors associated with coexisting ICH in CSVD were determined using multivariate logistic regression analysis. ICH was observed in 59 patients (14.3%). Multivariate logistic regression showed that previous history of ischemic stroke or transient ischemic attack (OR 5.189, 95%CI 2.572-10.467, P < 0.001), high-grade perivascular space in the basal ganglia (n > 10) (OR 2.051, 95%CI 1.044-4.027, P = 0.037) and low adjusted calcium-phosphorus product (OR 0.728 per 1 [mmol/L]2 increase, 95%CI 0.531-0.998, P = 0.049) were associated with coexisting ICH in CSVD patients. The considerable proportion of coexisting ICH and revelation of associated factors in general CSVD patients alert physicians of the potential risk of the reoccurrence of ICH, and might have a significant impact on therapeutic strategies.

Hemodynamic significance of intracranial atherosclerotic disease and ipsilateral imaging markers of cerebral small vessel disease

INTRODUCTION

Cerebral small vessel disease (CSVD) commonly exists in patients with symptomatic intracranial atherosclerotic disease (sICAD). We aimed to investigate the associations of hemodynamic features of sICAD lesions with imaging markers and overall burden of CSVD.

PATIENTS AND METHODS

Patients with anterior-circulation sICAD (50%-99% stenosis) were analyzed in this cross-sectional study. Hemodynamic features of a sICAD lesion were quantified by translesional pressure ratio (PR = Pressurepost-stenotic/Pressurepre-stenotic) and wall shear stress ratio (WSSR = WSSstenotic-throat/WSSpre-stenotic) via CT angiography-based computational fluid dynamics modeling. PR ⩽median was defined as low ("abnormal") PR, and WSSR ⩾ fourth quartile as high ("abnormal") WSSR. For primary analyses, white matter hyperintensities (WMHs), lacunes, and cortical microinfarcts (CMIs) were assessed in MRI and summed up as overall CSVD burden, respectively in ipsilateral and contralateral hemispheres to sICAD. Enlarged perivascular spaces (EPVSs) and cerebral microbleeds (CMBs) were assessed for secondary analyses.

RESULTS

Among 112 sICAD patients, there were more severe WMHs, more lacunes and CMIs, and more severe overall CSVD burden ipsilaterally than contralaterally (all p < 0.05). Abnormal PR and WSSR (vs normal PR and WSSR) was significantly associated with moderate-to-severe WMHs (adjusted odds ratio = 10.12, p = 0.018), CMI presence (5.25, p = 0.003), and moderate-to-severe CSVD burden (12.55; p = 0.033), ipsilaterally, respectively independent of contralateral WMHs, CMI(s), and CSVD burden. EPVSs and CMBs were comparable between the two hemispheres, with no association found with the hemodynamic metrics.

DISCUSSION AND CONCLUSION

There are more severe WMHs and CMI(s) in the hemisphere ipsilateral than contralateral to sICAD. The hemodynamic significance of sICAD lesions was independently associated with severities of WMHs and CMI(s) ipsilaterally.

Detection of skin α-synuclein using RT-QuIC as a diagnostic biomarker for Parkinson's disease in the Chinese population

BACKGROUND

Several studies have indicated that skin holds promise as a potential sample for detecting pathological α-Syn and serving as a diagnostic biomarker for α-synucleinopathies. Despite reports in Chinese PD patients, comprehensive research on skin α-Syn detection using RT-QuIC is lacking.

OBJECTIVE

This study aimed to evaluate the diagnostic performance of skin samples using RT-QuIC from PD patients in the Chinese population.

METHODS

Patients with sporadic PD and controls were included according to the British PD Association Brain Bank diagnostic criteria. The seeding activity of misfolded α-Syn in these skin samples was detected using the RT-QuIC assay after protein extraction. Biochemical and morphological analyses of RT-QuIC products were conducted by atomic force microscopy, transmission electron microscopy, Congo red staining, and dot blot analysis.

RESULT

30 patients clinically diagnosed with PD and 28 controls with non-α-synucleinopathies were included in this study. 28 of 30 PD patients demonstrated positive α-Syn seeding activity by RT-QuIC assay. In contrast, no α-Syn seeding activity was detected in the 28 control samples, with an overall sensitivity and specificity of 93.3% and 100%, respectively (P < 0.001). Biochemical characterization of the RT-QuIC product indicated fibrillary α-Syn species in PD-seeded reactions, while control samples failed in the conversion of recombinant α-Syn substrate.

CONCLUSION

This study applied RT-QuIC technology to identify misfolded α-Syn seeding activity in skin samples from Chinese PD patients, demonstrating high specificity and sensitivity. Skin α-Syn RT-QuIC is expected to be a reliable approach for the diagnosis of PD.

Enlarged Perivascular Space in the Basal Ganglia is Associated with Cerebral Venous Reflux in Patients with Recent Small Subcortical Infarction

BACKGROUND

Research has linked enlarged perivascular spaces (EPVS) to cerebral venous reflux (CVR) in patients with hypertensive intracerebral hemorrhage, but it is unclear whether this association exists in recent small subcortical infarct (RSSI) patients.

OBJECTIVE

This study aimed to investigate the correlation between EPVS and CVR in patients with RSSI.

METHOD

This study included 297 patients, selected from patients with RSSI in the lenticulostriate artery admitted to the Department of Neurology of the First Affiliated Hospital of Zhengzhou University. CVR was assessed by time-of-flight magnetic resonance angiography (TOF-MRA). The relationship between EPVS and CVR was studied using multiple logistic regression analysis.

RESULTS

This study included patients with an average age of 59.84±12.27 years, including 201 males (67.7%). CVR was observed in 40 (13.5%) patients. Compared to the group without CVR, the proportions of male patients and patients with a history of smoking and drinking were higher in the CVR group. The proportions of high-grade EPVS in the centrum semiovale region [23 cases (57.5%) vs. 108 cases (42.0%), p =0.067] and the basal ganglia region [30 cases (75.0%) vs. 133 cases (51.8%), p =0.006] were higher in the CVR group. After multiple logistic regression analysis, high-grade EPVS in the basal ganglia region was still associated with CVR (OR, 2.68; 95% CI, 1.22-5.87; p =0.014).

CONCLUSION

In the population with RSSI, EPVS in basal ganglia is significantly associated with CVR, suggesting a close relationship between venous dysfunction and the formation of EPVS.

The role of leptin in ischemic stroke and its subtypes: A Mendelian randomization study

BACKGROUND AND AIMS

Observational studies have suggested a relationship between leptin and risk of stroke. However, evidence for the association remains inconsistent, and whether the association reflects a causal relationship remains to be established. To clarify this relationship, we adopted a two-sample Mendelian randomization (MR) analysis to investigate whether leptin plays a causal role in the risk of stroke and its subtypes.

METHODS AND RESULTS

Five independent single-nucleotide polymorphisms (SNPs) associated with the leptin level from genome-wide association studies (GWASs) of European individuals were selected. We performed an MR analysis using the inverse-variance-weighted (IVW) as primary method to examine the causal effects of leptin on ischemic stroke (IS). Moreover, MR-Egger intercept and Cochran's Q statistic were also performed to detect the pleiotropy or heterogeneity of our MR results. Genetically predicted circulating leptin level was not associated with ischemic stroke [odds ratio (OR): 1.48, 95% confidence interval (CI): 0.78-2.8, P = 0.22], large artery stroke (OR: 1.44, 95% CI: 0.39-5.25, P = 0.57), cardioembolic stroke (OR:1.33, 95% CI: 0.55-3.22, P = 0.52), and small vessel stroke (OR: 1.48, 95% CI: 0.39-5.63, P = 0.56) using the IVW method. Likewise, there is no convincing evidence for the associations between leptin levels and cardiovascular diseases (CVD) risk factors.

CONCLUSIONS

This study did not provide evidence that leptin levels are associated with increased risk of stroke and its subtypes.

Assessing the impact of novel risk loci on Alzheimer's and Parkinson's diseases in a Chinese Han cohort

Background

Overwhelming evidence points to that genetic factors contributing to the development of Alzheimer's disease (AD) and Parkinson's disease (PD). Genome-Wide Association Study (GWAS) has come a long way in the last decade. So far, a large number of GWAS studies have been published on neurological diseases and many other diseases, providing us with a wealth of genetic information and unique biological insights.

Methods

Genomic DNA was extracted from both patients' and controls' peripheral blood samples utilizing the Blood Genome Extraction Kit. Single nucleotide polymorphisms (SNPs) were genotyped employing the enhanced multiple ligase detection reaction (iMLDR) technology.

Results

A case-control study was conducted, involving 211 AD patients, 508 PD patients (including 117 with dementia), and 412 healthy individuals. Age and sex stratification analysis revealed that rs871269/TNIP1 was associated with LOAD (p = 0.035), and rs5011436/TMEM106B was associated with AD in males (p = 0.044) in the genotype model. In the allele model, rs871269/TNIP1 was found to be associated with PD in the Chinese Han population (p = 0.0035, OR 0.741, 95% CI 0.559-0.983), and rs708382/GRN was identified as a risk factor for Parkinson's disease dementia (PDD) in the Chinese Han population (p = 0.004, odds ratio (OR) 0.354, 95% confidence interval (CI) 0.171-0.733). However, no significant associations with AD or PD were observed for the remaining four loci (rs113020870/AGRN, rs6891966/HAVCR2, rs2452170/NTN5, rs1761461/LILRB2) in terms of allele or genotype frequencies.

Conclusion

This study identifies rs871269/TNIP1 as a potential risk factor for both LOAD and PD, rs708382/GRN as a risk factor for PDD, and rs5011436/TMEM106B as associated with AD in males when stratified by age.

Dynamic monitoring of UBA1 somatic mutations in patients with relapsing polychondritis

BACKGROUND

Commonly clinically diagnosed with relapsing polychondritis (RP), vacuoles, E1 enzyme, X-linked, autoinflammatory, somatic syndrome (VEXAS) is a recently identified autoinflammatory disease caused by UBA1 somatic mutations. The low frequency and dynamic changes challenge the accurate detection of somatic mutations. The present study monitored these mutations in Chinese patients with RP. We included 44 patients with RP. Sanger sequencing of UBA1 was performed using genomic DNA from peripheral blood. Droplet digital polymerase chain reaction (ddPCR) was performed to screen low-prevalence somatic variants.

RESULTS

Multiple ddPCR detections were performed using available blood samples collected at different follow-up time points. Three male patients were UBA1 somatic mutation carriers. Sanger sequencing detected the somatic UBA1 variant c.122T > C (p.Met41Thr) in two male patients. Initial ddPCR confirmed the variant in the two patients, with allele fractions of 73.75% and 88.46%, respectively, while yielding negative results in other patients. Subsequent ddPCR detected the somatic variant (c.122T > C) with low prevalence (1.02%) in another male patient from blood samples collected at a different time point, and confirmed dynamically fractional abundance in one patient with VEXAS, with allele fractions of 73.75%, 61.28%, 65.01%, and 73.75%. Nine patients assessed by ddPCR at different time points remained negative.

CONCLUSION

We report UBA1 variants in patients with RP in the Chinese population for the first time. Multiple ddPCR detections from samples collected at different time points can enhance sensitivity and should be considered for patients with initial negative ddPCR results.

Peripheral immune markers and amyotrophic lateral sclerosis: a Mendelian randomization study

Introduction

The peripheral immune system changes in amyotrophic lateral sclerosis (ALS), but the causal relationship between the two is still controversial.

Methods

In this study, we aimed to estimate the causal relationship between peripheral immune markers and ALS using a two-sample Mendelian randomization method. Genome-wide association study (GWAS) data on peripheral blood immune traits from European populations were used for exposure, and ALS summary statistics were used as the outcome. The causal relationship was evaluated by inverse variance weighting, MR-Egger, and weighted median methods and verified by multiple sensitivity analysis.

Results

We found that the increase of one standard deviation of lymphocyte count is related to reducing ALS risk. CD3 on effector memory CD4+ T cell, HLA DR+ CD4+ T cell, effector memory CD8+ T cell, terminally differentiated CD8+ T cell and CD28- CD8+ T cell is also a protective factor for ALS. Among the circulating immune protein, the increase of one standard deviation of α-2-macroglobulin receptor-associated protein (α-2-MRAP) and C4b showed associated with low risk of ALS, while Interleukin-21 (IL-21) increases the risk of ALS.

Discussion

Our study further reveals the important role of peripheral immune activity in ALS.

Development of an interpretable machine learning-based intelligent system of exercise prescription for cardio-oncology preventive care: A study protocol

Background

Cardiovascular disease (CVD) and cancer are the first and second causes of death in over 130 countries across the world. They are also among the top three causes in almost 180 countries worldwide. Cardiovascular complications are often noticed in cancer patients, with nearly 20% exhibiting cardiovascular comorbidities. Physical exercise may be helpful for cancer survivors and people living with cancer (PLWC), as it prevents relapses, CVD, and cardiotoxicity. Therefore, it is beneficial to recommend exercise as part of cardio-oncology preventive care.

Objective

With the progress of deep learning algorithms and the improvement of big data processing techniques, artificial intelligence (AI) has gradually become popular in the fields of medicine and healthcare. In the context of the shortage of medical resources in China, it is of great significance to adopt AI and machine learning methods for prescription recommendations. This study aims to develop an interpretable machine learning-based intelligent system of exercise prescription for cardio-oncology preventive care, and this paper presents the study protocol.

Methods

This will be a retrospective machine learning modeling cohort study with interventional methods (i.e., exercise prescription). We will recruit PLWC participants at baseline (from 1 January 2025 to 31 December 2026) and follow up over several years (from 1 January 2027 to 31 December 2028). Specifically, participants will be eligible if they are (1) PLWC in Stage I or cancer survivors from Stage I; (2) aged between 18 and 55 years; (3) interested in physical exercise for rehabilitation; (4) willing to wear smart sensors/watches; (5) assessed by doctors as suitable for exercise interventions. At baseline, clinical exercise physiologist certificated by the joint training program (from 1 January 2023 to 31 December 2024) of American College of Sports Medicine and Chinese Association of Sports Medicine will recommend exercise prescription to each participant. During the follow-up, effective exercise prescription will be determined by assessing the CVD status of the participants.

Expected outcomes

This study aims to develop not only an interpretable machine learning model to recommend exercise prescription but also an intelligent system of exercise prescription for precision cardio-oncology preventive care.

Ethics

This study is approved by Human Experimental Ethics Inspection of Guangzhou Sport University.

Clinical trial registration

http://www.chictr.org.cn, identifier ChiCTR2300077887.

EEG Power Spectral Density in NREM Sleep is Associated with the Degree of Hypoxia in Patients with Obstructive Sleep Apnea

Purpose

Obstructive sleep apnea (OSA) is a prevalent sleep-related breathing disorder. Research conducted on patients with OSA using electroencephalography (EEG) has revealed a noticeable shift in the overnight polysomnography (PSG) power spectrum. To better quantify the effects of OSA on brain function and to identify the most reliable predictors of pathological cortical activation, this study quantified the PSG power and its association with the degree of hypoxia in OSA patients.

Patients and Methods

This retrospective study recruited 93 patients with OSA. OSA patients were divided into three groups based on their apnea-hypopnea index (AHI) scores. The clinical characteristics and sleep macrostructure of these patients were examined, followed by an analysis of PSG signals. Power spectral density (PSD) in five frequency bands was analyzed during nonrapid eye movement (NREM) sleep, rapid eye movement (REM) sleep, and wakefulness. Finally, correlation analysis was conducted to assess the relationships among PSD, PSG parameters, and serum levels of S100β and uric acid.

Results

Obstructive sleep apnea occurred during both the NREM and REM sleep phases. Except for a decrease in the duration of N2 sleep and an increase in the microarousal index, there were no significant differences in sleep architecture based on disease severity. Compared to the mild OSA group, the theta and alpha band PSD in the frontal and occipital regions during NREM sleep and wakefulness were significantly decreased in the moderate and severe OSA groups. Correlation analysis revealed that theta PSD in N1 and N3 stages were negatively correlated the AHI, oxygen desaturation index, SaO2<90% and microarousal index.

Conclusion

These findings imply that patients with more severe OSA exhibited considerable NREM hypoxia and abnormal brain activity in the frontal and occipital regions. Therefore, sleep EEG oscillation may be a useful neurophysiological indicator for assessing brain function and disease severity in patients with OSA.

The Novel Biomarkers-Based HALP (Hemoglobin, Albumin, Lymphocyte and Platelet)-Prognostic Model for Acute and Subacute Patients with Cerebral Venous Sinus Thrombosis: A Retrospective Cohort Study

AIM

Increasing evidences suggest that HALP is an independent predictor of prognosis in patients with inflammation. However, the relationship between HALP and prognosis in patients with cerebral venous sinus thrombosis (CVST) has not been studied. In this study, we aimed to evaluate the prognosis values of HALP in acute or subacute CVST and explore the new prognostic model for CVST.

METHODS

Consecutive patients who were diagnosed as having acute and subacute CVST were retrospectively investigated. We determined the patients' functional outcomes by modified Rankin Scale (mRS). Multivariate logistic regression analysis was used to assess the relationship between factors and poor functional outcomes. The area under the ROC curve (AUC) was estimated to evaluate the ability of markers and models in predicting clinical prognosis. The prognostic model was presented as nomogram. In addition, the decision curve analysis (DCA) was used to analyze the benefit of this model. Furthermore, survival curves were described by the Kaplan-Meier analysis.

RESULTS

A total of 270 patients were included of which 31 had poor outcome. Multivariable logistic regression analysis demonstrated HALP (OR=0.978, 95%CI: 0.958-0.999, P=0.039) was a protective predictor of outcome. The AUC of HALP was 0.749 (95% CI: 0.633-0.865, P=0.044). DCA demonstrated that this model significantly improved risk prediction at threshold probabilities of CVST at 0 to 85% compared to ISCVT-RS scores. Patients with higher HALP (P=0.006) presented higher overall survival rates.

CONCLUSION

HALP may be a potential protective marker in acute and subacute CVST patients. The new prognostic model with HALP had potentially better value for acute and subacute CVST patients.

Neuroimaging markers of early neurological deterioration in acute isolated pontine infarction

BACKGROUND

Imaging indicators of early neurological deterioration (END) in patients with acute isolated pontine infarctions (AIPI) remained ambiguous. We aimed to find more specific neuroimaging markers for the development of END in patients with AIPI.

METHODS

Patients with AIPI within 72 h of stroke onset were screened from a stroke database from January 2018 to July 2021 in the First Affiliated Hospital of Zhengzhou University. Clinical characteristics, laboratory tests, and imaging parameters were collected. The layers having the largest infarct area on diffusion-weighted imaging (DWI) and T2 sequences were chosen. On the transverse plane of DWI and sagittal plane of T2-Flair images, the maximum length (a, m) and maximum width (b, n) vertical to the length of the infarcted lesions were measured respectively. On the sagittal plane of T2-Flair image, the maximum ventrodorsal length (f) and rostrocaudal thickness (h) were measured. On the sagittal plane, lesions were evenly split into upper, middle, and lower types based on the lesion's location in the pons. The ventral and dorsal types of location were separated based on whether the ventral borders of the pons were involved on transvers plane. END was defined as a ≥2 point increase in the National Institutes of Health Stroke Scale (NIHSS) total score or a ≥1 point increase in the motor items within 72 h after admission. Multivariate logistic regression analyses were used to explore risk factors associated with END. The receiver operating characteristic (ROC) curve analysis and the area under the curve (AUC) was performed to estimate the discriminative power and determine the optimal cut-off points of imaging parameters on the prediction of END.

RESULTS

A total of 218 patients with AIPI were included in the final analysis. END occurred in 61 cases (28.0%). Multivariate logistic regression analysis showed that the ventral type of lesion location was associated with END in all models adjusted. In addition, in Model 1, b (odds ratio (OR) 1.145, 95% confidence interval (95% CI), 1.007-1.301) and n (OR 1.163, 95% CI 1.012-1.336); in Model 2, b*n (OR 1.010, 95% CI 1.002-1.018); in Model 3, n (OR 1.179, 95% CI, 1.028-1.353); and in Model 4, b (OR 1.143, 95% CI 1.006-1.298) and n (OR 1.167, 95% CI 1.016-1.341) were found to be associated with END respectively after different adjustments. ROC curve analysis with END showed that the AUC, the optimal cut-off value, and its sensitivity and specificity were 0.743 (0.671-0.815), 9.850 mm, and 68.9% and 79.0% for b; 0.724 (0.648-0.801), 10.800 mm, and 57.4% and 80.9% for n; and 0.772 (0.701-0.842), 108.274 mm2, and 62.3% and 85.4% for b*n, respectively (b*n vs b: P =0.213; b*n vs n: P =0.037; b vs n: P =0.645).

CONCLUSIONS

Our study revealed that besides the ventral type of lesion location, the maximum width of lesion on the transverse plane of DWI and sagittal plane of T2 image (b, n) may be imaging markers for the development of END in AIPI patients, and the product of the two (b*n) showed a better prediction value on the risks of END.

A comprehensive study of clinicopathological and genetic features of neuronal intranuclear inclusion disease

BACKGROUND

The discovery of skin intranuclear inclusions and GGC repeat expansion of NOTCH2NLC has greatly promoted the diagnosis of neuronal intranuclear inclusion disease (NIID). With highly heterogeneous clinical manifestations, NIID patients tend to be underdiagnosed at early stages.

METHODS

This study comprehensively studied clinical manifestations, magnetic resonance imaging (MRI), and peripheral nerve conduction in 24 NIID and 166 other neurodegenerative disease (ND) subjects. The nomogram was plotted using the "rms" package, and the t-distributed stochastic neighbor embedding algorithm was performed. Associations between skin intranuclear inclusions and NOTCH2NLC GGC repeats were further analyzed.

RESULTS

The clinical, MRI, and peripheral nerve conduction features seriously overlapped in NIID and ND patients; they were assigned variables according to their frequency and specificity in NIID patients. A nomogram that could distinguish NIID from ND was constructed according to the assigned variables and cutoff values of the above features. The occurrence of skin intranuclear inclusions and NOTCH2NLC GGC repeats ≥ 60 showed 100% consistency, and intranuclear inclusion frequency positively correlated with NOTCH2NLC GGC repeats. A hierarchical diagnostic flowchart for definite NIID was further established.

CONCLUSION

We provide a novel nomogram with the potential to realize early identification and update the diagnostic flowchart for definitive diagnosis. Moreover, this is the first study to define the association between skin pathology and NOTCH2NLC genetics in NIID.

Shared metabolic shifts in endothelial cells in stroke and Alzheimer's disease revealed by integrated analysis

Since metabolic dysregulation is a hallmark of both stroke and Alzheimer's disease (AD), mining shared metabolic patterns in these diseases will help to identify their possible pathogenic mechanisms and potential intervention targets. However, a systematic integration analysis of the metabolic networks of the these diseases is still lacking. In this study, we integrated single-cell RNA sequencing datasets of ischemic stroke (IS), hemorrhagic stroke (HS) and AD models to construct metabolic flux profiles at the single-cell level. We discovered that the three disorders cause shared metabolic shifts in endothelial cells. These altered metabolic modules were mainly enriched in the transporter-related pathways and were predicted to potentially lead to a decrease in metabolites such as pyruvate and fumarate. We further found that Lef1, Elk3 and Fosl1 may be upstream transcriptional regulators causing metabolic shifts and may be possible targets for interventions that halt the course of neurodegeneration.

ABCD2 score has equivalent stroke risk prediction for anterior circulation TIA and posterior circulation TIA

Transient ischemic attack (TIA) was clinically divided into anterior circulation (AC) or posterior circulation (PC). Previous study reported that ABCD2 score could predict the stroke risk after AC-TIA but might have limitation for PC-TIA. We aimed to classify TIA depending on neuroimaging and assess the value of ABCD2 score for predicting stroke risk in different territories. Research data was from TIA database of the First Affiliated Hospital of Zhengzhou University. TIA patients with acute infarction on diffuse weighted imaging [that is, transient symptoms with infarction (TSI)] were divided into anterior and posterior circulation groups according to the location of infarction. The outcome was recurrent stroke within 7 and 90 days. The predictive power of ABCD2 score was determined using area under receiver operator characteristic curve (AUC) analyses. Overall, 382 AC-TSI and 112 PC-TSI patients were included. There were 38 (9.9%) AC-TSI patients and 11(9.8%) PC-TSI patients who had recurrent stroke at 7 days, and 66 (17.3%) AC-TSI patients and 19 (17.0%) PC-TSI patients who had recurrent stroke within 90 days. At 7 days, the AUC for ABCD2 score was 0.637 (95% confidence interval CI 0.554-0.720) in anterior circulation and 0.683 (95% CI 0.522-0.845) in posterior circulation. The C statistics for ABCD2 score in the two groups were not statistically significant (Z =  - 0.499; P = 0.62). Similar result was found when the outcome time-point was set at 90 days. ABCD2 score could predict the short-term risk of recurrent stroke after AC-TSI and PC-TSI, and had similar predictive abilities for AC-TSI and PC-TSI.

The case report of MOG and NMDAR IgG double positive encephalitis treated with subcutaneous ofatumumab

The phenotypic spectrum of myelin oligodendrocyte glycoprotein (MOG)- IgG-associated disorders (MOGAD) has broadened in the past few years, and atypical phenotypes are increasingly recognized. Isolated seizures and MRI-negative brainstem and cerebellar symptoms or encephalitis have rarely been reported as a feature of MOGAD and represent a diagnostic challenge. Meanwhile, the coexistence of MOG IgG and other CNS autoimmune antibodies is infrequent. We report a patient presented with isolated epileptic onset, relapsed with MRI-negative brainstem symptoms and MRI-negative encephalitis. He was positive for MOG IgG throughout the disease course while concomitant NMDAR IgG was not detected positive until second relapse. He showed decreasing response to conventional first-line therapy. The last relapse was during a COVID-19 epidemic with limited inpatient resources. Fortunately, he was ultimately controlled on subcutaneous ofatumumab, a novel fully humanized anti-CD20 mAb. This is the first report about subcutaneous ofatumumab treatment in MOG and NMDAR IgG double positive encephalitis with 12-month follow-up, depicting its potential as a therapeutic option.

Homocysteine impedes neurite outgrowth recovery after intracerebral haemorrhage by downregulating pCAMK2A

Hyperhomocysteinemia (HHcy) is independently associated with poorer long-term prognosis in patients with intracerebral haemorrhage (ICH); however, the effect and mechanisms of HHcy on ICH are still unclear. Here, we evaluated neurite outgrowth and neurological functional recovery using simulated models of ICH with HHcy in vitro and in vivo. We found that the neurite outgrowth velocity and motor functional recovery in the ICH plus HHcy group were significantly slower than that in the control group, indicating that homocysteine (Hcy) significantly impedes the neurite outgrowth recovery after ICH. Furthermore, phosphoproteomic data and signalome analysis of perihematomal brain tissues suggested that calmodulin-dependent protein kinases 2 (CAMK2A) kinase substrate pairs were significantly downregulated in ICH with HHcy compared with autologous blood injection only, both western blot and immunofluorescence staining confirmed this finding. Additionally, upregulation of pCAMK2A significantly increased neurite outgrowth recovery in ICH with HHcy. Collectively, we clarify the mechanism of HHcy-hindered neurite outgrowth recovery, and pCAMK2A may serve as a therapeutic strategy for promoting neurological recovery after ICH.

Correlation between neutrophil gelatinase phase lipocalin and cerebral small vessel disease

Background

Cerebral small vessel disease (CSVD) is common in the elderly population. Neutrophil gelatinase-associated lipocalin (NGAL) is closely related to cardiovascular and cerebrovascular diseases. NGAL causes pathological changes, such as damage to the vascular endothelium, by causing inflammation, which results in other related diseases. The purpose of this study was to investigate whether serum NGAL levels could predict disease severity in patients with CSVD.

Methods

The patients with CSVD who visited the Department of Neurology at the First Affiliated Hospital of Zhengzhou University between January 2018 and June 2022 were prospectively included. The total CSVD burden score was calculated using whole-brain magnetic resonance imaging (MRI), and the patients were divided into a mild group (total CSVD burden score < 2 points) and a severe group (total CSVD burden score ≥ 2 points). Age, sex, height, smoking and alcohol consumption history, medical history, and serological results of patients were collected to perform the univariate analysis. Multivariate logistic regression was used to analyze the risk factors that affect CSVD severity. The multiple linear regression method was used to analyze which individual CSVD markers (periventricular white matter hyperintensities, deep white matter hyperintensities, lacune, and cerebral microbleed) play a role in the association between total CSVD burden score and NGAL.

Results

A total of 427 patients with CSVD (140 in the mild group and 287 in the severe group) were included in the study. A multivariate logistic regression analysis showed that the following factors were significantly associated with CSVD severity: male sex [odds ratio(OR), 1.912; 95% confidence interval (CI), 1.150-3.179], age (OR, 1.046; 95% CI, 1.022-1.070), history of cerebrovascular disease (OR, 3.050; 95% CI, 1.764-5.274), serum NGAL level (OR, 1.005; 95% CI, 1.002-1.008), and diabetes (OR, 2.593; 95% CI, 1.424-4.722). A multivariate linear regression shows that periventricular white matter hyperintensities and cerebral microbleed are associated with serum NGAL concentrations (P < 0.05).

Conclusion

Serum NGAL level is closely related to CSVD severity and is a risk factor for the burden of CSVD brain damage. Serum NGAL has high specificity in reflecting the severity of CSVD.

Effect of prior anticoagulation therapy on stroke severity and in-hospital outcomes in patients with acute ischemic stroke and atrial fibrillation

BACKGROUND

We aimed to assess the prevalence of prior anticoagulation therapy (warfarin or non-vitamin K antagonist oral anticoagulants [NOACs]) among patients with acute ischemic stroke (AIS) and atrial fibrillation (AF) in China and investigate the associations between prior anticoagulation therapy and initial stroke severity and in-hospital outcomes.

METHODS

We included consecutive patients with AIS and known history of AF admitted to hospitals in the China Stroke Center Alliance (CSCA) program from January 2019 to July 2019. Multivariate logistic regression analyses were performed to determine the associations between prior anticoagulation therapy and initial stroke severity and in-hospital outcomes.

RESULTS

Of 7181 patients (median [IQR] age, 75.0 [68.0-81.0] years; 48.7% men), 700 (9.7%), 129 (1.8%), and 255 (3.6%) patients received prior subtherapeutic warfarin (international normalized ratio [INR] <2.0), therapeutic warfarin (INR ≥2.0), and NOACs therapy, respectively. A total of 6499 patients had a preadmission CHA₂DS₂-VASc score ≥ 2, among whom 94.6% were not adequately anticoagulated. Compared with no prior anticoagulation therapy, prior NOACs therapy was associated with reduced risk of moderate or severe stroke at admission (odds ratio [95% CI], 0.64 [0.43-0.94], P = 0.023) and in-hospital mortality or discharge against medical advice (DAMA) (0.46 [0.24-0.86], P = 0.015). However, no significant association was observed between prior therapeutic warfarin therapy and stroke severity or in-hospital mortality or DAMA.

CONCLUSIONS

Among patients with AIS and AF in China, the proportion of patients with inadequate anticoagulation prior to stroke remained substantially high. Prior NOACs therapy was associated with reduced stroke severity and less in-hospital mortality or DAMA.

Genetic spectrum and clinical features of adult leukoencephalopathies in a Chinese cohort

OBJECTIVE

Leukoencephalopathies are a group of heterogeneous disorders characterized by the degeneration of white matter, resulting in a variety of progressive neurological symptoms. To date, over 60 genes linked to genetic leukoencephalopathies have been discovered through whole-exome sequencing (WES) and long-read sequencing. Nonetheless, the genetic diversity and clinical variability of these disorders among various racial groups remain largely unknown. Therefore, this study aims to analyze the genetic spectrum and clinical features of Chinese adult leukoencephalopathies and compare the genetic profiles in different populations.

METHODS

A total of 129 patients suspected of possible genetic leukoencephalopathy were enrolled and underwent WES and dynamic mutation analysis. Bioinformatics tools were used to predict the pathogenicity of these mutations. Skin biopsies were conducted for further diagnosis. Genetic data sources from different populations were collected from published articles.

RESULTS

Genetic diagnosis was established in 48.1% of patients, with WES identifying 57 pathogenic or likely pathogenic variants in 39.5% of cases. NOTCH3 and NOTCH2NLC were the most common mutated genes, accounting for 12.4% and 8.5% of cases, respectively. Dynamic mutation analysis revealed NOTCH2NLC GGC repeat expansions in 8.5% of patients. Different mutations resulted in varying clinical symptoms and imaging findings. Comparisons of genetic profiles between different populations showed distinct mutational spectrums in adult leukoencephalopathies.

INTERPRETATION

This study highlights the importance of genetic testing for accurate diagnosis and improved clinical management of these disorders. It also sheds light on the genetic heterogeneity of adult leukoencephalopathies across different races, emphasizing the need for further research on this topic.

Meningeal immunity and neurological diseases: new approaches, new insights

The meninges, membranes surrounding the central nervous system (CNS) boundary, harbor a diverse array of immunocompetent immune cells, and therefore, serve as an immunologically active site. Meningeal immunity has emerged as a key factor in modulating proper brain function and social behavior, performing constant immune surveillance of the CNS, and participating in several neurological diseases. However, it remains to be determined how meningeal immunity contributes to CNS physiology and pathophysiology. With the advances in single-cell omics, new approaches, such as single-cell technologies, unveiled the details of cellular and molecular mechanisms underlying meningeal immunity in CNS homeostasis and dysfunction. These new findings contradict some previous dogmas and shed new light on new possible therapeutic targets. In this review, we focus on the complicated multi-components, powerful meningeal immunosurveillance capability, and its crucial involvement in physiological and neuropathological conditions, as recently revealed by single-cell technologies.

CHCHD2 p.Thr61Ile knock-in mice exhibit motor defects and neuropathological features of Parkinson's disease

The p.Thr61Ile (p.T61I) mutation in coiled-coil-helix-coiled-coil-helix domain containing 2 (CHCHD2) was deemed a causative factor in Parkinson's disease (PD). However, the pathomechanism of the CHCHD2 p.T61I mutation in PD remains unclear. Few existing mouse models of CHCHD2-related PD completely reproduce the features of PD, and no transgenic or knock-in (KI) mouse models of CHCHD2 mutations have been reported. In the present study, we generated a novel CHCHD2 p.T61I KI mouse model, which exhibited accelerated mortality, progressive motor deficits, and dopaminergic (DA) neurons loss with age, accompanied by the accumulation and aggregation of α-synuclein and p-α-synuclein in the brains of the mutant mice. The mitochondria of mouse brains and induced pluripotent stem cells (iPSCs)-derived DA neurons carrying the CHCHD2 p.T61I mutation exhibited aberrant morphology and impaired function. Mechanistically, proteomic and RNA sequencing analysis revealed that p.T61I mutation induced mitochondrial dysfunction in aged mice likely through repressed insulin-degrading enzyme (IDE) expression, resulting in the degeneration of the nervous system. Overall, this CHCHD2 p.T61I KI mouse model recapitulated the crucial clinical and neuropathological aspects of patients with PD and provided a novel tool for understanding the pathogenic mechanism and therapeutic interventions of CHCHD2-related PD.

Stress hyperglycemia predicts early neurological deterioration and poor outcomes in patients with single subcortical infarct

AIM

The goal of this study was to determine whether the stress hyperglycemia ratio (SHR) is associated with early neurological deterioration (END) and poor outcomes in patients with single subcortical infarct (SSI).

METHODS

For this study, we prospectively enrolled patients with SSI admitted between 2015 and 2021. SHR was distributed in quartiles according to the size of each subgroup. END was defined as an increase of ≥ 2 total points in the National Institutes of Health Stroke Scale (NIHSS) or ≥ 1 point in the motor items of the NIHSS within 7 days of hospital admission. The modified Rankin Scale (mRS) was used to evaluate patient prognosis. Good and poor outcomes were defined as mRS scores ≤ 2 and > 2, respectively. The relationships between SHR and risk of END as well as outcomes were analyzed using multivariate logistic regression models.

RESULTS

A total of 1049 patients with SSI with an average age of 59.49 years met the inclusion criteria for the analysis. The incidence of END markedly increased with increasing SHR. Multivariate logistic regression analysis revealed that the highest SHR quartile was independently associated with an increased risk of both END (OR 4.04, 95% CI, 2.43-6.69, P < 0.001) and 3-month poor outcomes (OR 2.34, 95% CI, 1.44-3.82, P = 0.001), compared to the lowest quartile. A receiver operating characteristic curve analysis of the SHR based on the area under the curve showed a diagnostic accuracy equal or greater than fasting plasma glucose .

CONCLUSION

SHR is a reliable predictor of END and poor outcomes in patients with SSI.

[Concordance between three integrated scores based on prostate biopsy and grade-grouping of radical prostatectomy specimen]

Objective: To analyze three different integrated scoring schemes of prostate biopsy and to compare their concordance with the scoring of radical prostatectomy specimens. Methods: A retrospective analysis of 556 patients with radical prostatectomy performed in Nanjing Drum Tower Hospital, Nanjing, China from 2017 to 2020. In these cases, whole organ sections were performed, the pathological data based on biopsy and radical prostatectomy specimens were summarized, and 3 integrated scores of prostate biopsy were calculated, namely the global score, the highest score and score of the largest volume. Results: Among the 556 patients, 104 cases (18.7%) were classified as WHO/ISUP grade group 1, 227 cases (40.8%) as grade group 2 (3+4=7); 143 cases (25.7%) as grade group 3 (4+3=7); 44 cases (7.9%) as grade group 4 (4+4=8) and 38 cases (6.8%) as grade group 5. Among the three comprehensive scoring methods for prostate cancer biopsy, the consistency of global score was the highest (62.4%). In the correlation analysis, the correlation between the scores of radical specimens and the global scores was highest (R=0.730, P<0.01), while the correlations of the scores based on radical specimens with highest scores and scores of the largest volume based on biopsy were insignificant (R=0.719, P<0.01; R=0.631, P<0.01, respectively). Univariate and multivariate analyses showed tPSA group and the three integrated scores of prostate biopsy were statistically correlated with extraglandular invasion, lymph node metastasis, perineural invasion and biochemical recurrence. Elevated global score was an independent prognostic risk factor for extraglandular invasion and biochemical recurrence in patients; increased serum tPSA was an independent prognostic risk factor for extraglandular invasion; increased hjighest score was an independent risk factor for perineural invasion. Conclusions: In this study, among the three different integrated scores, the overall score is most likely corresponded to the radical specimen grade group, but there is difference in various subgroup analyses. Integrated score of prostate biopsy can reflect grade group of radical prostatectomy specimens, thereby providing more clinical information for assisting in optimal patient management and consultation.

[Expression of GPNMB in renal eosinophilic tumors and its value in differential diagnosis]

Objective: To investigate the expression of glycoprotein non metastatic melanoma protein B (GPNMB) in renal eosinophilic tumors and to compare the value of GPNMB with CK20, CK7 and CD117 in the differential diagnosis of renal eosinophilic tumors. Methods: Traditional renal tumor eosinophil subtypes, including 22 cases of renal clear cell carcinoma eosinophil subtype (e-ccRCC), 19 cases of renal papillary cell carcinoma eosinophil subtype (e-papRCC), 17 cases of renal chromophobe cell carcinoma eosinophil subtype (e-chRCC), 12 cases of renal oncocytoma (RO) and emerging renal tumor types with eosinophil characteristics [3 cases of eosinophilic solid cystic renal cell carcinoma (ESC RCC), 3 cases of renal low-grade eosinophil tumor (LOT), 4 cases of fumarate hydratase-deficient renal cell carcinoma (FH-dRCC) and 5 cases of renal epithelioid angiomyolipoma (E-AML)], were collected at the Affiliated Drum Tower Hospital of Nanjing University Medical School from January 2017 to March 2022. The expression of GPNMB, CK20, CK7 and CD117 was detected by immunohistochemistry and statistically analyzed. Results: GPNMB was expressed in all emerging renal tumor types with eosinophil characteristics (ESC RCC, LOT, FH-dRCC) and E-AML, while the expression rates in traditional renal eosinophil subtypes e-papRCC, e-chRCC, e-ccRCC and RO were very low or zero (1/19, 1/17, 0/22 and 0/12, respectively); the expression rate of CK7 in LOT (3/3), e-chRCC (15/17), e-ccRCC (4/22), e-papRCC (2/19), ESC RCC (0/3), RO (4/12), E-AML(1/5), and FH-dRCC (2/4) variedly; the expression of CK20 was different in ESC RCC (3/3), LOT(3/3), e-chRCC(1/17), RO(9/12), e-papRCC(4/19), FH-dRCC(1/4), e-ccRCC(0/22) and E-AML(0/5), and so did that of CD117 in e-ccRCC(2/22), e-papRCC(1/19), e-chRCC(16/17), RO(10/12), ESC RCC(0/3), LOT(1/3), E-AML(2/5) and FH-dRCC(1/4). GPNMB had 100% sensitivity and 97.1% specificity in distinguishing E-AML and emerging renal tumor types (such as ESC RCC, LOT, FH-dRCC) from traditional renal tumor types (such as e-ccRCC, e-papRCC, e-chRCC, RO),respectively. Compared with CK7, CK20 and CD117 antibodies, GPNMB was more effective in the differential diagnosis (P<0.05). Conclusion: As a new renal tumor marker, GPNMB can effectively distinguish E-AML and emerging renal tumor types with eosinophil characteristics such as ESC RCC, LOT, FH-dRCC from traditional renal tumor eosinophil subtypes such as e-ccRCC, e-papRCC, e-chRCC and RO, which is helpful for the differential diagnosis of renal eosinophilic tumors.

Seed amplification assay of nasal swab extracts for accurate and non-invasive molecular diagnosis of neurodegenerative diseases

Nasal swabs are non-invasive testing methods for detecting diseases by collecting samples from the nasal cavity or nasopharynx. Dysosmia is regarded as an early sign of coronavirus disease 2019 (COVID-19), and nasal swabs are the gold standard for the detection. By nasal swabs, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleic acids can be cyclically amplified and detected using real-time reverse transcriptase-polymerase chain reaction after sampling. Similarly, olfactory dysfunction precedes the onset of typical clinical manifestations by several years in prion diseases and other neurodegenerative diseases, such as Alzheimer's disease, Parkinson's disease, dementia with Lewy bodies, and multiple system atrophy. In neurodegenerative diseases, nasal swab tests are currently being explored using seed amplification assay (SAA) of pathogenic misfolded proteins, such as prion, α-synuclein, and tau. These misfolded proteins can serve as templates for the conformational change of other copies from the native form into the same misfolded form in a prion-like manner. SAA for misfolded prion-like proteins from nasal swab extracts has been developed, conceptually analogous to PCR, showing high sensitivity and specificity for molecular diagnosis of degenerative diseases even in the prodromal stage. Cyclic amplification assay of nasal swab extracts is an attractive and feasible method for accurate and non-invasive detection of trace amount of pathogenic substances for screening and diagnosis of neurodegenerative disease.

Estimated Burden of Stroke in China in 2020

IMPORTANCE

Stroke is the leading cause of death in China. However, recent data about the up-to-date stroke burden in China are limited.

OBJECTIVE

To investigate the urban-rural disparity of stroke burden in the Chinese adult population, including prevalence, incidence, and mortality rate, and disparities between urban and rural populations.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study was based on a nationally representative survey that included 676 394 participants aged 40 years and older. It was conducted from July 2020 to December 2020 in 31 provinces in mainland China.

MAIN OUTCOMES AND MEASURES

Primary outcome was self-reported stroke verified by trained neurologists during a face-to-face interviews using a standardized protocol. Stroke incidence were assessed by defining first-ever strokes that occurred during 1 year preceding the survey. Strokes causing death that occurred during the 1 year preceding the survey were considered as death cases.

RESULTS

The study included 676 394 Chinese adults (395 122 [58.4%] females; mean [SD] age, 59.7 [11.0] years). In 2020, the weighted prevalence, incidence, and mortality rates of stroke in China were 2.6% (95% CI, 2.6%-2.6%), 505.2 (95% CI, 488.5-522.0) per 100 000 person-years, and 343.4 (95% CI, 329.6-357.2) per 100 000 person-years, respectively. It was estimated that among the Chinese population aged 40 years and older in 2020, there were 3.4 (95% CI, 3.3-3.6) million incident cases of stroke, 17.8 (95% CI, 17.5-18.0) million prevalent cases of stroke, and 2.3 (95% CI, 2.2-2.4) million deaths from stroke. Ischemic stroke constituted 15.5 (95% CI, 15.2-15.6) million (86.8%) of all incident strokes in 2020, while intracerebral hemorrhage constituted 2.1 (95% CI, 2.1-2.1) million (11.9%) and subarachnoid hemorrhage constituted 0.2 (95% CI, 0.2-0.2) million (1.3%). The prevalence of stroke was higher in urban than in rural areas (2.7% [95% CI, 2.6%-2.7%] vs 2.5% [95% CI, 2.5%-2.6%]; P = .02), but the incidence rate (485.5 [95% CI, 462.8-508.3] vs 520.8 [95% CI, 496.3-545.2] per 100 000 person-years; P < .001) and mortality rate (309.9 [95% CI, 291.7-328.1] vs 369.7 [95% CI, 349.1-390.3] per 100 000 person-years; P < .001) were lower in urban areas than in rural areas. In 2020, the leading risk factor for stroke was hypertension (OR, 3.20 [95% CI, 3.09-3.32]).

CONCLUSIONS AND RELEVANCE

In a large, nationally representative sample of adults aged 40 years or older, the estimated prevalence, incidence, and mortality rate of stroke in China in 2020 were 2.6%, 505.2 per 100 000 person-years, and 343.4 per 100 000 person-years, respectively, indicating the need for an improved stroke prevention strategy in the general Chinese population.

Validation of the IMPROVE bleeding risk assessment model in surgical patients: Results from the DissolVE-2 Study

INTRODUCTION

IMPROVE Bleeding Risk Score (BRS) is known to be validated and widely accepted in medical patients. However, its relevance in surgical patients has so far not been explored. External validation of the IMPROVE BRS on bleeding in surgical patients can hopefully improve clinical practice (for surgical patients).

METHODS

Data from 6986 surgical patients were collected from the DissolVE-2 cohort. The Kaplan-Meier method was used to assess the incidences of major bleeding and any bleeding among surgical patients within 14 days of admission. A cut-off value of BRS ≥7 indicated a higher risk of bleeding. Risk factors associated with major and any bleeding were analysed by the Cox regression method. Model discrimination was evaluated by area under the receiver operator characteristic curves (AUC). Calibration curves and Hosmer-Lemeshow χ² statistics were used to measure the difference between predicted and observed bleeding risks.

RESULTS

A total of 6399 surgical patients were included in the final validation cohort. The cumulative incidence rate of any bleeding was 3.9 % (95 % confidence interval [CI], 3.4-4.5), of which the incidence rate of major bleeding was 1.2 % (95 % CI, 0.9-1.6). Among patients with a BRS of ≥7, 16.3 % reported any bleeding, and 26.3 % reported major bleeding. The IMPROVE BRS had a better discriminative power (AUC = 0.69) and excellent goodness of fit (Hosmer-Lemeshow test, P = 0.208) for the prediction of major bleeding events as compared with any bleeding (AUC = 0.55; Hosmer-Lemeshow test, P = 0.004). The calibration plot suggested a more accurate prediction for major bleeding events. Moreover, the IMPROVE BRS had a higher AUC value of 0.83 and better goodness of fit (P = 0.2616) for major bleeding in patients undergoing abdominal surgery than other surgery types.

CONCLUSION

The IMPROVE BRS is a simple and practical technique that can help in predicting the risk of major bleeding in surgical patients, improving functional and safety outcomes of hospitalized patients with surgery.

Risk stratification in symptomatic intracranial atherosclerotic disease with conventional vascular risk factors and cerebral haemodynamics

BACKGROUND AND PURPOSE

Symptomatic intracranial atherosclerotic stenosis (sICAS) is associated with a considerable risk of recurrent stroke despite contemporarily optimal medical treatment. Severity of luminal stenosis in sICAS and its haemodynamic significance quantified with computational fluid dynamics (CFD) models were associated with the risk of stroke recurrence. We aimed to develop and compare stroke risk prediction nomograms in sICAS, based on vascular risk factors and these metrics.

METHODS

Patients with 50%-99% sICAS confirmed in CT angiography (CTA) were enrolled. Conventional vascular risk factors were collected. Severity of luminal stenosis in sICAS was dichotomised as moderate (50%-69%) and severe (70%-99%). Translesional pressure ratio (PR) and wall shear stress ratio (WSSR) were quantified via CTA-based CFD modelling; the haemodynamic status of sICAS was classified as normal (normal PR&WSSR), intermediate (otherwise) and abnormal (abnormal PR&WSSR). All patients received guideline-recommended medical treatment. We developed and compared performance of nomograms composed of these variables and independent predictors identified in multivariate logistic regression, in predicting the primary outcome, recurrent ischaemic stroke in the same territory (SIT) within 1 year.

RESULTS

Among 245 sICAS patients, 20 (8.2%) had SIT. The D₂H₂A nomogram, incorporating diabetes, dyslipidaemia, haemodynamic status of sICAS, hypertension and age ≥50 years, showed good calibration (P for Hosmer-Lemeshow test=0.560) and discrimination (C-statistic 0.73, 95% CI 0.60 to 0.85). It also had better performance in risk reclassification and provided larger net benefits in decision curve analysis, compared with nomograms composed of conventional vascular risk factors only, and plus the severity of luminal stenosis in sICAS. Sensitivity analysis in patients with anterior-circulation sICAS showed similar results.

CONCLUSIONS

The D₂H₂A nomogram, incorporating conventional vascular risk factors and the haemodynamic significance of sICAS as assessed in CFD models, could be a useful tool to stratify sICAS patients for the risk of recurrent stroke under contemporarily optimal medical treatment.

The Relationship Between Social Support and Relapse Tendency Among Those Who Struggle With Drug Addiction: Multiple Mediators of Exercise Self-Efficacy and Health-Related Quality of Life

Based on social support theory and exercise promotion health theory, we verified the mediating role of exercise self-efficacy and health-related quality of life in the relationship between social support and the relapse tendency of Chinese people who struggle with drug addiction. Samples who had received traditional Chinese health-promoting exercise interventions over 3 months were recruited from two drug rehabilitation centres in Zhejiang Province ( n = 415). The participants completed the Social Support Rating Scale, Exercise Self-Efficacy Scale, Health Survey Short Form Questionnaire Chinese version, and Relapse Tendency Scale. Correlation analysis showed significant positive correlations between social support, exercise self-efficacy, and quality of life. In contrast, social support, exercise self-efficacy, and quality of life were negatively correlated with relapse tendency. In addition, intermediary effect analysis showed that social support has a direct negative predictive effect on relapse tendency in two ways: as an independent intermediary of exercise self-efficacy and as a chain intermediary of exercise self-efficacy and quality of life. Good exercise habits and adherence, as well as early establishment of social support, are beneficial not only for reducing craving and relapse behaviour but also for enhancing the quality of life of people who struggle with drug addiction, thereby facilitating the recovery efficacy for maintenance.

Genome-wide Association Studies of REST Gene Associated Neurological Diseases/traits with Related Single Nucleotide Polymorphisms

BACKGROUND

Genome-wide association studies (GWAS) have been used to explore the connections between genotypes and phenotypes by comparing the genotype frequencies of genetic changes in individuals with similar origins but distinct traits.

OBJECTIVES

The aim is to employ the GWAS catalog to identify and investigate the various correlations between genotypes and phenotypes of the REST gene.

METHODS

In this study, we utilized a large dataset of GWAS comprising 62,218,976 individuals in 112 studies and 122 associations with 122 traits (www.ebi.ac.uk/gwas/genes/REST) from European, Asian, Hispanic, African ancestry up to 28 February 2023. Protein-association network evaluation and gene ontology enrichment study was utilized to evaluate the biological function of the discovered gene modules.

RESULTS

We identified several associations for both neurodevelopmental and neurodegenerative disorders linked to REST, as well as its mapped gene modules and their functional relationship networks.

CONCLUSION

This work offers fresh insights into identifying risk loci of neurological disorders caused by REST.

The Positional Relationship between Lacunae and White Matter Hyperintensity in Patients with Cerebral Small Vessel Disease

BACKGROUND

Lacunae and white matter hyperintensity (WMH) are two crucial imaging biomarkers of cerebral small vessel disease (CSVD). Multiple studies have revealed a close relationship between WMH and lacunae and found that a double penumbra existed at the edge of WMH that affects lacunae formation. The study aimed to explore the spatial distribution characteristics and possible influencing factors of lacuna in relation to white matter hyperintensity in patients with CSVD.

METHODS

A total of 480 CSVD patients with WMH and with or without lacunae were included. Data about blood biochemical indicators, cerebrovascular CT angiography, 24-hour ambulatory blood pressure and ambulatory electrocardiogram, brain magnetic resonance imaging, and transcranial Doppler ultrasound were gathered from all subjects. They were categorised into four groups based on the spatial interaction between lacunae and WMH. Univariate analyses and multiple logistic regression analyses were used to compare the differences in traditional vascular risk factors, heart rate and blood pressure indicators, arterial pulsatility index (PI) values, and arterial stenosis among different groups.

RESULTS

The average age of 480 patients was (58.63 ± 11.91) years, with 347 males (72.3%). Univariate analysis indicated that age, fasting blood glucose, triglycerides, total cholesterol, highdensity lipoprotein, 24-hour and daytime and night systolic and diastolic blood pressure, nocturnal heart rate, heart rate variability, PI values of ipsilateral and contralateral MCA (middle cerebral artery) and ICA (Internal carotid artery) of the lacunae, Fazekas score of PWMH (periventricular white matter hyperintensities), the proportion of MCA or ICA with stenosis rate over 50% on the ipsilateral side of the lacunae were significantly different between different groups (p < 0.05). High fasting blood glucose (OR=1.632, 95% CI= (1.128, 2.361), p =0.009), (OR=1.789, 95%CI= (1.270, 2.520), p = 0.001), (OR=1.806, 95% CI= (1.292, 2.524), p =0.001) was identified as a risk factor for lacunae formation by logistic regression analysis.

CONCLUSION

High fasting blood glucose can be considered a risk factor for lacunae formation in patients with WMH. The more severe the PWMH and the higher the nocturnal heart rate, the more likely the lacunae, as well as PWMH, overlap completely. Ipsilateral arteriosclerosis and stenosis are independent risk factors for no contact between lacunae and PWMH.

Association of Blood Lipid Profile Components with White Matter Hyperintensity Burden in Cerebral Small Vessel Disease

BACKGROUND

Cerebral small vessel disease (CSVD) refers to a common cerebrovascular disease and white matter hyperintensities (WMHs) constitute a typical feature of CSVD. However, there has not been a large number of studies investigating the relationship between lipid profile components and WMHs.

METHODS

Altogether, 1019 patients with CSVD were enrolled at the First Affiliated Hospital of Zhengzhou University between April 2016 to December 2021. Baseline data were collected for all patients, including demographic characteristics and clinical data. WMH volumes were evaluated by two experienced neurologists using the MRIcro software. Multivariate regression analysis was used to investigate the relationship among the severity of WMHs, blood lipids and common risk factors.

RESULTS

Altogether, 1019 patients with CSVD were enrolled, including 255 in the severe WMH group and 764 in the mild WMH group. After including age, sex and blood lipids to construct a multivariate logistic regression equation, we observed that the severity of WMHs was independently predicted by low-density lipoprotein (LDL), homocysteine level and history of cerebral infarction.

CONCLUSION

We used WMH volume, a highly accurate measure, to assess its relationship with lipid profiles. The WMH volume increased with a decrease in LDL. This relationship was more significant, especially among the subgroups of patients aged <70 years and men. Patients with cerebral infarction and higher homocysteine levels were more likely to have higher WMH volumes. Our study has provided a reference for clinical diagnosis and therapy, especially for discussing the role of blood lipid profiles in the pathophysiology of CSVD.

Myasthenia Gravis and Ischemic Stroke: A Bidirectional Mendelian Randomization Study

BACKGROUND

Autoimmune diseases are associated with cardiovascular and cerebrovascular diseases. However, whether myasthenia gravis (MG) and ischemic stroke (IS) are causally related remains unclear.

OBJECTIVES

This study aimed to evaluate potential causal links between MG and IS using bidirectional Mendelian randomization (MR).

METHODS

We conducted a two-sample MR analysis to assess the potential associations between MG and IS. Genetic variants associated with MG and IS as well as their subtypes were extracted from genome-wide association studies by meta-analysis. The inverse-variance weighted method was used for the main MR analysis. Sensitivity analyses, including the MREgger, simple mode, simple median, weighted mode, and weighted median approaches were applied to test the robustness of the results.

RESULTS

The MR analyses indicated no causal effects of general MG on IS of all causes (odds ratio [OR] = 0.990, 95% confidence interval [CI]: 0.953-1.029, p = 0.615), large vessel atherosclerosis stroke (OR = 0.943, 95% CI: 0.856-1.039, p = 0.233), cardioembolic stroke (OR = 0.975, 95% CI: 0.867-1.096, p = 0.670), and small vessel occlusion stroke (OR = 1.059, 95% CI 0.974-1.150, p = 0.178). Subgroup analyses indicated no causal effects of early- or late-onset MG on IS and its subtypes (all p > 0.05). The reverse MR analysis showed no significant causal associations of IS on MG (all p > 0.05).

CONCLUSION

Bidirectional MR analysis did not provide evidence to support a causal relationship between genetically predicted MG and IS, although observational studies have found such a potential link.

Deep learning assisted contrast-enhanced CT-based diagnosis of cervical lymph node metastasis of oral cancer: a retrospective study of 1466 cases

OBJECTIVES

Lymph node (LN) metastasis is a common cause of recurrence in oral cancer; however, the accuracy of distinguishing positive and negative LNs is not ideal. Here, we aimed to develop a deep learning model that can identify, locate, and distinguish LNs in contrast-enhanced CT (CECT) images with a higher accuracy.

METHODS

The preoperative CECT images and corresponding postoperative pathological diagnoses of 1466 patients with oral cancer from our hospital were retrospectively collected. In stage I, full-layer images (five common anatomical structures) were labeled; in stage II, negative and positive LNs were separately labeled. The stage I model was innovatively employed for stage II training to improve accuracy with the idea of transfer learning (TL). The Mask R-CNN instance segmentation framework was selected for model construction and training. The accuracy of the model was compared with that of human observers.

RESULTS

A total of 5412 images and 5601 images were labeled in stage I and II, respectively. The stage I model achieved an excellent segmentation effect in the test set (AP₅₀-0.7249). The positive LN accuracy of the stage II TL model was similar to that of the radiologist and much higher than that of the surgeons and students (0.7042 vs. 0.7647 (p = 0.243), 0.4216 (p < 0.001), and 0.3629 (p < 0.001)). The clinical accuracy of the model was highest (0.8509 vs. 0.8000, 0.5500, 0.4500, and 0.6658 of the Radiology Department).

CONCLUSIONS

The model was constructed using a deep neural network and had high accuracy in LN localization and metastasis discrimination, which could contribute to accurate diagnosis and customized treatment planning.

KEY POINTS

• Lymph node metastasis is not well recognized with modern medical imaging tools. • Transfer learning can improve the accuracy of deep learning model prediction. • Deep learning can aid the accurate identification of lymph node metastasis.

A Delay-Cell-Controlled VCO Design for Unipolar Single-Gate Enhancement-Mode TFT Technologies

This work outperforms the previous literatures by proposing a delay-cell-controlled voltage control oscillator (VCO) design for common unipolar, single-gate, and enhancement-mode thin-film transistor (TFT) technologies. A design example with InZnO TFTs is simulated to verify the proposed design. The design example has a 500 μW power consumption, 0.7 mm² area, 3.8 kHz-8 kHz output frequency range, 600 Hz/V tuning sensitivity, and 4% maximum linear error. This design may have the potential to be used for flexible, low cost, and moderate speed sensor readout interfaces.

[The prevalence of atrial cardiomyopathy in patients with different types of acute ischemic stroke and its relationship with cryptogenic stroke]

Objective: To investigate the prevalence of atrial cardiomyopathy in patients with different types of acute ischemic stroke and its relationship with cryptogenic stroke. Methods: Patients with acute ischemic stroke within 7 days of onset who were admitted to the Department of Neurology of the First Affiliated Hospital of Zhengzhou University from January to September 2019 were prospectively and consecutively enrolled. All included patients were classified according to TOAST classification of ischemic stroke. Chi-square test was used to compare the prevalence of atrial cardiomyopathy among patients with different TOAST classifications. Multivariate logistic regression model was used to analyze the related factors of cryptogenic stroke. Results: A total of 1 098 patients with acute ischemic stroke were enrolled in the study, including 661 males and 437 females, with a median age [M(Q₁,Q₃)] of 61 (53, 68) years. The prevalence of atrial cardiomyopathy in patients with cryptogenic stroke[53.5% (46/86)] was higher than that in patients with large artery atherosclerosis [38.0%(63/166), P=0.018] and small vessel occlusion [19.4%(37/191), P<0.001], but was lower than that of patients in the cardioembolic group [97.3% (72/74), P<0.001]. Multivariate logistic regression analysis showed that atrial cardiomyopathy was an associated factor for cryptogenic stroke (OR=2.945, 95%CI: 1.766-4.911, P<0.001). Conclusions: Atrial cardiomyopathy is associated with cryptogenic stroke. The prevalence of atrial cardiomyopathy in patients with cryptogenic stroke is higher than that in patients with large artery atherosclerosis and small vessel occlusion, but lower than that in patients with cardiac embolism.