Sleep-disordered breathing and nocturnal hypoxemia in chronic thromboembolic pulmonary disease.

BACKGROUND AND AIMS: Sleep-disordered breathing (SDB) and nocturnal hypoxemia were known to be present in patients with chronic thromboembolic pulmonary hypertension (CTEPH), but the difference between SDB and nocturnal hypoxemia in patients who have chronic thromboembolic pulmonary disease (CTEPD) with or without pulmonary hypertension (PH) at rest remains unknown. METHODS: Patients who had CTEPH (n = 80) or CTEPD without PH (n = 40) and who had undergone sleep studies from July 2020 to October 2022 at Shanghai Pulmonary Hospital were enrolled. Nocturnal mean SpO2 (Mean SpO2) <90% was defined as nocturnal hypoxemia, and the percentage of time with a saturation below 90% (T90%) exceeding 10% was used to evaluate the severity of nocturnal hypoxemia. Logistic and linear regression analyses were performed to investigate the difference and potential predictor of SDB or nocturnal hypoxemia between CTEPH and CTEPD without PH. RESULTS: SDB was similarly prevalent in CTEPH and CTEPD without PH (P = 0.104), both characterised by obstructive sleep apnoea (OSA). Twenty-two patients with CTEPH were diagnosed with nocturnal hypoxemia, whereas only three were diagnosed with CTEPD without PH (P = 0.021). T90% was positively associated with mean pulmonary arterial pressure (mPAP) and pulmonary vascular resistance in patients with CTEPH and CTEPD without PH (P < 0.001); T90% was also negatively related to cardiac output in these patients. Single-breath carbon monoxide diffusing capacity, sex and mPAP were all correlated with nocturnal hypoxemia in CTEPH and CTEPD without PH (all P < 0.05). CONCLUSION: Nocturnal hypoxemia was worse in CTEPD with PH; T90%, but not SDB, was independently correlated with the hemodynamics in CTEPD with or without PH.

The Plasma Concentration of Ticagrelor and Aspirin as a Predictor of Bleeding Complications in Chinese Acute Coronary Syndrome Patients With Dual Antiplatelet Therapy: A Prospective Observational Study.

PURPOSE: This study evaluated the association among the plasma concentration of ticagrelor, ARC124910XX, aspirin, and salicylic acid with the risk of recent bleeding in patients with the acute coronary syndrome. To this end, we developed an accurate model to predict bleeding. METHODS: A total of 84 patients included in this study cohort between May 2021 and November 2021. The risk factors were identified by univariate and multivariate analyses, and statistically significant risk factors identified in the multivariate analysis were included in the nomogram. We used the calibration curve and the receiver operating characteristic curve to verify the accuracy of the prediction model. RESULTS: Multivariable logistic analysis showed that ticagrelor concentration (odds ratio [OR]: 2.47, 95% confidence interval [CI], 1.51-4.75, P = 0.002), ST-segment elevation acute myocardial infarction (OR: 32.2, 95% CI, 2.37-780, P = 0.016), and lipid-lowering drugs (OR: 11.52, 95% CI, 1.91-110, P = 0.015) were positively correlated with bleeding. However, angiotensin-converting enzyme inhibitor/angiotensin II receptor blocker (OR: 0.04, 95% CI, 0.004-0.213, P < 0.001) was negatively correlated with bleeding. The receiver operating characteristic curve analysis showed that ticagrelor concentration and these factors together predict the occurrence of bleeding (area under receiver operating characteristic curve = 0.945, 95% CI, 0.896-0.994) and that ticagrelor concentration >694.90 ng/mL is the threshold of bleeding concentration (area under receiver operating characteristic curve = 0.696, 95% CI, 0.558-0.834). CONCLUSION: In patients with acute coronary syndrome treated with dual antiplatelet therapy, ticagrelor concentration >694.90 ng/mL was an independent risk factor for bleeding (OR: 2.47, 95% CI, 1.51-4.75, P = 0.002), but ARC124910XX and salicylic acid concentration did not affect bleeding risk ( P > 0.05).

Simulation of quantum walks on a circle with polar molecules via optimal control.

Quantum walks are the quantum counterpart of classical random walks and have various applications in quantum information science. Polar molecules have rich internal energy structure and long coherence time and thus are considered as a promising candidate for quantum information processing. In this paper, we propose a theoretical scheme for implementing discrete-time quantum walks on a circle with dipole-dipole coupled SrO molecules. The states of the walker and the coin are encoded in the pendular states of polar molecules induced by an external electric field. We design the optimal microwave pulses for implementing quantum walks on a four-node circle and a three-node circle by multi-target optimal control theory. To reduce the accumulation of decoherence and improve the fidelity, we successfully realize a step of quantum walk with only one optimal pulse. Moreover, we also encode the walker into a three-level molecular qutrit and a four-level molecular ququart and design the corresponding optimal pulses for quantum walks, which can reduce the number of molecules used. It is found that all the quantum walks on a circle in our scheme can be achieved via optimal control fields with high fidelities. Our results could shed some light on the implementation of discrete-time quantum walks and high-dimensional quantum information processing with polar molecules.

Peak oxygen uptake is a strong prognostic predictor for pulmonary hypertension due to left heart disease.

BACKGROUND: Pulmonary hypertension in left heart disease (PH-LHD), which includes combined post- and precapillary PH (Cpc-PH) and isolated postcapillary PH (Ipc-PH), differs significantly in prognosis. We aimed to assess whether cardiopulmonary exercise testing (CPET) predicts the long-term survival of patients with PH-LHD. METHODS: A single-center observational cohort enrolled 89 patients with PH-LHD who had undergone right heart catherization and CPET (mean pulmonary arterial pressure > 20 mm Hg and pulmonary artery wedge pressure ≥ 15 mm Hg) between 2013 and 2021. A receiver operating characteristic curve was plotted to determine the cutoff value of all-cause death. Survival was estimated using the Kaplan-Meier method and analyzed using the log-rank test. The Cox proportional hazards model was performed to determine the association between CPET and all-cause death. RESULTS: Seventeen patients died within a mean of 2.2 ± 1.3 years. Compared with survivors, nonsurvivors displayed a significantly worse 6-min walk distance, workload, exercise time and peak oxygen consumption (VO2)/kg with a trend of a lower oxygen uptake efficiency slope (OUES) adjusted by Bonferroni's correction. Multivariate Cox regression revealed that the peak VO2/kg was significantly associated with all-cause death after adjusting for Cpc-PH/Ipc-PH. Compared with Cpc-PH patients with a peak VO2/kg ≥ 10.7 ml kg-1 min-1, Ipc-PH patients with a peak VO2/kg < 10.7 ml kg-1 min-1 had a worse survival (P < 0.001). CONCLUSIONS: The peak VO2/kg is independently associated with all-cause death in patients with PH-LHD. The peak VO2/kg can also be analyzed together with Cpc-PH/Ipc-PH to better indicate the prognosis of patients with PH-LHD.

Implementation of three-qubit quantum computation with pendular states of polar molecules by optimal control.

Ultracold polar molecules have been considered as the possible candidates for quantum information processing due to their long coherence time and strong dipole-dipole interaction. In this paper, we consider three coupled polar molecules arranged in a linear chain and trapped in an electric field with gradient. By employing the pendular states of polar molecules as qubits, we successfully realize three-qubit quantum gates and quantum algorithms via the multi-target optimal control theory. Explicitly speaking, through the designs of the optimal laser pulses with multiple iterations, the triqubit Toffoli gate, the triqubit quantum adders, and the triqubit quantum Fourier transform can be achieved in only one operational step with high fidelities and large transition probabilities. Moreover, by combining the optimized Hadamard, oracle, and diffusion gate pulses, we simulate the Grover algorithm in the three-dipole system and show that the algorithm can perform well for search problems. In addition, the behaviors of the fidelity and the average transition probability with respect to iteration numbers are compared and analyzed for each gate pulse. Our findings could pave the way toward scalability for molecular quantum computing based on the pendular states and could be extended to implement multi-particle gate operation in the molecular system.

Optical control of entanglement and coherence for polar molecules in pendular states.

Quantum entanglement and coherence are both essential physical resources in quantum theory. Cold polar molecules have long coherence time and strong dipole-dipole interaction and thus have been suggested as a platform for quantum information processing. In this paper, we employ the pendular states of the polar molecules trapped in static electric fields as the qubits, and put forward several theoretical schemes to generate the entanglement and coherence for two coupled dipoles by using optimal control theory. Through the designs of appropriate laser pulses, the transitions from the ground state to the Bell state and maximally coherent state can be realized with high fidelities 0.9906 and 0.9943 in the two-dipole system, respectively. Meanwhile, we show that the degrees of entanglement and coherence between the two pendular qubits are effectively enhanced with the help of optimized control fields. Furthermore, our schemes are generalized to the preparation of the Hardy state and even to the creation of arbitrary two-qubit states. Our findings can shed some light on the implementation of quantum information tasks with the molecular pendular states.

Electromagnetically induced transparency in a spin-orbit coupled Bose-Einstein condensate.

The artificial field can be generated by properly arranging pulsed magnetic fields interacting with a Bose-Einstein condensate (BEC), which can be widely used to simulate the phenomena of traditional condensed matter physics, such as spin-orbit (SO) coupling and the neutral atom spin Hall effect. The introduction of SO coupling in a BEC will alter its optical properties. Eletromagnetically induced transparency (EIT) is a powerful tool that can change and detect the properties of an atomic medium in a nondestructive way. It is important and interesting to study EIT properties and to investigate the effects of SO coupling on EIT. In this paper, we investigate EIT in a SO-coupled BEC. Not only is the transparency existing, but the real and imaginary parts of the susceptibility have an additional red frequency shift, which is linearly proportional to the strength of the SO coupling. By using this unconventional, sensitive EIT spectrum, SO coupling can be detected and its strength can be accurately measured according to the frequency shift.

Characteristics of exercise capacity in female systemic lupus erythematosus associated pulmonary arterial hypertension patients.

BACKGROUND: To study the oxygen uptake efficiency and determine usefulness of submaximal parameters of oxygen uptake in systemic lupus erythematosus associated pulmonary arterial hypertension (SLE PAH) on performing a cardiopulmonary exercise test (CPET). METHODS: CPET was performed in 21 SLE PAH patients, equal number of idiopathic pulmonary arterial hypertension (IPAH) patients and controls. Peak VO2, anaerobic threshold (AT), oxygen uptake efficiency slope (OUES) and oxygen uptake efficiency plateau (OUEP) and other CPET parameters were examined. All subjects had pulmonary function test (PFT) at rest, which included FEV1, FVC, FEV1/FVC, DLCO measurements. Right heart catheterization (RHC) was also done in SLE PAH and IPAH patients. CPET parameters were compared with RHC parameters to determine potential correlations. RESULTS: Peak VO2, PETCO2 and peak O2 pulse were lower in SLE PAH than IPAH and controls with OUE being lower during all stages of exercise in SLE PAH. DLCO and FVC values were significantly lower in SLE PAH (p < 0.05). Peak O2 pulse and VO2@AT in SLE PAH and IPAH was low (p < 0.05) and significant difference between SLE PAH and IPAH was seen (p < 0.05). PVR correlated with the lowest VE/VCO2, O2 pulse, peak PETCO2 and OUE in SLE PAH patients (all p < 0.05). CONCLUSIONS: SLE PAH patients have cardiopulmonary exercise limitation with reduced oxygen uptake efficiency. VO2@ at AT, peak O2 pulse and O2 pulse at AT were significantly reduced (p < 0.05). Key CPET parameters correlated with elevated pulmonary vascular resistance (PVR). Submaximal parameters of oxygen uptake are equally useful in SLE PAH.

Profiling nitric oxide metabolites in patients with idiopathic pulmonary arterial hypertension.

Intact nitric oxide (NO) signalling is critical to maintaining appropriate pulmonary vascular tone. NO bioavailability is reduced in patients with pulmonary arterial hypertension. This study aimed to examine the impact of NO plasma metabolites (NOx) relative to haemodynamic dysfunction and mortality in patients with idiopathic pulmonary arterial hypertension (IPAH).A total of 104 consecutive adult IPAH patients who had undergone genetic counselling when first diagnosed were enrolled in this prospective study.The median concentration of NOx (µmol·L-1) was significantly lower in IPAH patients compared with healthy subjects, and was decreased further in 19 carriers of the bone morphogenetic protein-receptor type-2 (BMPR2) mutation compared to non-carriers. Reduced concentrations of NOx were correlated with mean pulmonary arterial pressure (mPAP), pulmonary vascular resistance (PVR) and cardiac output. Compared with higher baseline NOx concentrations, patients with a NOx concentration of ≤10 µmol·L-1 had a markedly worse survival. After adjustment for clinical features, a BMPR2 mutation and haemodynamics, a lower NOx level remained an increased risk of mortality.Patients with IPAH had lower levels of plasma NOx, which correlated inversely with mPAP, PVR and survival. Plasma NOx may be an important biomarker and prognostic indicator, suggesting that reduced NO synthesis contributes to the pathogenesis of IPAH.

A 12-month follow-up study on the preventive effect of oral lansoprazole on acute exacerbation of chronic obstructive pulmonary disease.

The objective of this study was to evaluate the preventive effects of oral administration of lansoprazole on acute exacerbation of chronic obstructive pulmonary disease (COPD). Patients with COPD in groups C and D in the stable phase were stratified into a group with neither gastroesophageal reflux nor lansoprazole therapy (group A) and a group subjected to oral lansoprazole therapy (group B1 ) and a group not subjected to oral lansoprazole therapy (group B2 ). The frequency scale for the symptoms of gastroesophageal reflux disease (FSSG) questionnaire, COPD assessment test (CAT) questionnaire, pulmonary function test and the 6-minute walk test were applied; in addition, arterial blood gas, white blood cell (WBC), hs-CRP, liver function and the levels of IL-1ß, IL-6, IL-8, TNF-α and GM-CSF in sputum were monitored during follow-up. In the 12-month follow-up period, the frequency of exacerbation in group B2 was statistically higher than that in groups A and B1 (P < 0.05). After a 3-month follow-up, the score of groups A and B1 in the FSSG questionnaire was significantly lower than that of group B2 (P < 0.05). After the 1-year follow-up, the CAT score, FEV1 , 6-min walk test, the total number of WBC, hs-CRP, alanine aminotransferase, aspartate aminotransferase, pH of the arterial blood, PaO2 , PaCO2 and the levels of IL-1ß, IL-6, IL-8, TNF-α and GM-CSF in the sputum were statistically different in group B2 compared with groups A and B1 (P < 0.05). Oral lansoprazole therapy decreased the frequency of acute exacerbation of COPD by alleviating gastroesophageal reflux and lowering the levels of IL-1ß, IL-6, IL-8, TNF-α and GM-CSF in the sputum.

Efficient scheme for generation of photonic NOON states in circuit QED.

We propose an efficient scheme for generating photonic NOON states of two resonators coupled to a four-level superconducting flux device (coupler). This proposal operates essentially by employing a technique of a coupler resonantly interacting with two resonators simultaneously. As a consequence, the NOON-state preparation requires only N+1 operational steps and thus is much faster when compared with a recent proposal [Su et al, Sci. Rep.4, 3898 (2014)] requiring 2N steps of operation. Moreover, due to the use of only two resonators and a coupler, the experimental setup is much simplified when compared with previous proposals requiring three resonators and two superconducting qubits/qutrits.

The molecular characterization and RNAi silencing of SjZFP1 in Schistosoma japonicum.

During development, Schistosoma japonicum undergoes many morphological and physiological transformations as a result of profound changes in gene expression. Proteins containing zinc finger motifs usually play an important role in DNA recognition, RNA packaging, and transcriptional activation. In our current study, we cloned the open reading frame (ORF) of SjZFP1 of S. japonicum, which encodes a zinc finger protein. We analyzed the complementary DNA (cDNA) sequence of SjZFP1 and examined the expression of SjZFP1 messenger RNA (mRNA) at various developmental stages. We also tested the effects of RNA interference (RNAi) silencing on worm burden, spawning, and egg hatching. The ORF in the SjZFP1 cDNA was 1017 bp in length and was predicted to encode a 338-aa protein with a molecular mass of approximately 38.5 kDa and theoretical isoelectric point (pI) of 7.08. Several conserved regions, including a B-box-type zinc-binding domain, two bipartite nuclear localization signal domains, a paired amphipathic helix repeat, and overlapping RING and PHD finger domains, were identified in the predicted amino acid sequence of SjZFP1. Using real-time PCR, we showed that the SjZFP1 mRNA was expressed across all of the developmental stages of the parasite and that the level of transcription was highest in the cercariae, eggs, schistosomula, and mature adult worms. The level of SjZFP1 mRNA expression in cultured schistosomula treated with one of two SjZFP1-specific small interfering RNAs (siRNAs; AY770 and AY546) was reduced by over 80 %, compared with that in the controls. In RNAi experiments in BALB/c mice, the level of SjZFP1 mRNA increased significantly when the mice were treated with the same SjZFP1-specific siRNAs during the early stages of infection. By contrast, the level of SjZFP1 mRNA decreased significantly when the mice were treated with the SjZFP1-specific siRNAs during the middle to late stages of infection. In four independent experiments, fewer worms were recovered from mice treated with the SjZFP1-specific siRNAs, compared with the number of worms recovered from the control mice. Both the average number and hatching rates of liver eggs recovered from mice treated with the SjZFP1-specific siRNAs during the middle to late stages of infection were significantly lower than those of the liver eggs recovered from the control mice. Our results suggest that the SjZFP1 gene might be important for parasite development, spawning in the vertebrate host, and egg hatching.

[Value of serum procalcitonin for the guidance of antibiotic therapy in children with lower respiratory tract infection].

OBJECTIVE: To evaluate the value of serum procalcitonin (PCT) for the guidance of antibiotic therapy in children with lower respiratory tract infection (LRTI). METHODS: A prospective randomized controlled study was conducted in 396 children with LRTI who visited Weifang Maternity and Child Care Hospital. The participants were randomly assigned into a PCT group in which the antibiotic therapy was guided by serum PCT level and a control group in which the standard therapy was given according to clinical guidance. Afterwards, a subgroup analysis was performed according to whether the patient was diagnosed with community-acquired pneumonia (CAP). After 14-day treatment, antibiotic prescription rate, duration of antibiotic treatment, and side events were compared between the groups. RESULTS: A total of 396 cases were recruited and equally assigned into the PCT group and the control group, among whom the numbers of the children with CAP were 125 and 123, respectively. The mean duration of antibiotic treatment was significantly shorter in the PCT group than in the control group (P<0.05). The subgroup analysis showed that the duration of antibiotic treatment in both CAP and non-CAP PCT subgroups was significantly shorter than in the control subgroups (P<0.05), however, the antibiotic prescription rate in the non-CAP PCT subgroup was significantly higher than that in the non-CAP control subgroup (P<0.05). There were no differences in the rate and duration of side events from antibiotic therapy, hospitalization rate, the length of hospital stay, and safety between the PCT and control groups. CONCLISOPNS: Serum PCT-based guidelines on antibiotic use can shorten the duration of antibiotic therapy in children with LRTI.

The ability of volumetric capnography to distinguish between chronic obstructive pulmonary disease patients and normal subjects.

PURPOSE: The aim of our study was to evaluate volumetric capnography (VCap) in the differentiation between chronic obstructive pulmonary disease (COPD) patients and normal subjects. PATIENTS AND METHODS: Thirty-nine healthy male volunteers and 60 male COPD patients were enrolled. Regression equations between VCap indices and age, weight, height, and tidal volume in healthy volunteers were established by stepwise regression analysis. Predicted normal values of VCap indices in COPD patients were calculated. A paired t test was used to compare the difference between observed and predicted values for VCap indices in COPD patients. Receiver operating characteristic (ROC) curve analysis was used to evaluate the power of each VCap index alone in differentiating COPD patients and normal subjects. The power of the combination of VCap indices was assessed by discriminant analysis. RESULTS: All regression equations were significant (P < 0.01) as were the differences between the observed and predicted normal VCap indices in COPD patients (P < 0.001). ROC curve analysis showed that the volume between 25 and 50% of F CO2et (Vm25-50), slope of Phase II (dC2/dV), and slope of Phase III (dC3/dV) were valuable predictors. Nearly all (90.9%) subjects were correctly classified by discriminant analysis. CONCLUSION: Vm25-50, dC2/dV, or dC3/dV alone are valuable for differentiating COPD patients and normal subjects, but more powerful are the combinations of Vm25-50, dC2/dV, and dC3/dV, the ratio of dC2/dV to dC3/dV (SR23), dead space according to the Bohr method (VDB), and dead space according to the Wolff and Brunner methods (PIE).

Wavelength selection method for near-infrared spectroscopy based on Max-Relevance Min-Redundancy.

Near-infrared spectroscopy (NIRS) is a rapid, nondestructive analytical technique utilized in various fields. However, the NIR data, which consists of hundreds of dimensions, may exhibit considerable duplication in the spectrum information. This redundancy might impair modeling effectiveness. As a result, feature selection on the spectral data becomes critical. The Max-Relevance Min-Redundancy (mRMR) method stands out among the different feature selection techniques for dimensional reduction. The approach depends on mutual information (MI) between random variables as the basis for feature selection and is unaffected by modeling methods. However, it is necessary to clarify the benefits of the maximum correlation minimal redundancy algorithm in the context of near-infrared spectral feature selection, as well as its adaptability to various modeling methods. This research focuses on the NIR spectral dataset of maize germination rate, and the mRMR method is utilized to select spectral features. Based on the preceding foundation, we create models for Support Vector Regression, Gaussian Process Regression, Random Forest, and Neural Networks. The experimental findings demonstrate that, among the feature selection methods employed in this paper, the Max-Relevance Min-Redundancy algorithm outperforms others regarding the corn germination rate dataset.

Mesenchymal stem cells-derived extracellular vesicle-incorporated H19 attenuates cardiac remodeling in rats with heart failure.

Cardiac remodeling is manifested by hypertrophy and apoptosis of cardiomyocytes, resulting in the progression of cardiovascular diseases. Long noncoding RNAs (lncRNAs) serve as modifiers of cardiac remodeling. In this study, we aimed to explore the molecular mechanism of H19 shuttled by mesenchymal stem cells (MSC)-derived extracellular vesicles (EV) in cardiac remodeling upon heart failure (HF). Using the GEO database, H19, microRNA (miR)-29b-3p, and CDC42 were screened out as differentially expressed biomolecules in HF. H19 and CDC42 were elevated, and miR-29b-3p was decreased after MSC-EV treatment in rats subjected to ligation of the coronary artery. MSC-EV alleviated myocardial injury in rats with HF. H19 downregulation exacerbated myocardial injury, while miR-29b-3p inhibitor alleviated myocardial injury. By contrast, CDC42 downregulation aggravated the myocardial injury again. PI3K/AKT pathway was activated by MSC-EV. These findings provide insights into how H19 shuttled by EV mitigates cardiac remodeling through a competitive endogenous RNA network regarding miR-29b-3p and CDC42.

Entanglement Generation of Polar Molecules via Deep Reinforcement Learning.

Polar molecules are a promising platform for achieving scalable quantum information processing because of their long-range electric dipole-dipole interactions. Here, we take the coupled ultracold CaF molecules in an external electric field with gradient as qubits and concentrate on the creation of intermolecular entanglement with the method of deep reinforcement learning (RL). After sufficient training episodes, the educated RL agents can discover optimal time-dependent control fields that steer the molecular systems from separate states to two-qubit and three-qubit entangled states with high fidelities. We analyze the fidelities and the negativities (characterizing entanglement) of the generated states as a function of training episodes. Moreover, we present the population dynamics of the molecular systems under the influence of control fields discovered by the agents. Compared with the schemes for creating molecular entangled states based on optimal control theory, some conditions (e.g., molecular spacing and electric field gradient) adopted in this work are more feasible in the experiment. Our results demonstrate the potential of machine learning to effectively solve quantum control problems in polar molecular systems.

Use of Machine Learning for the Identification and Validation of Immunogenic Cell Death Biomarkers and Immunophenotypes in Coronary Artery Disease.

Objective: Immunogenic cell death (ICD) is part of the immune system's response to coronary artery disease (CAD). In this study, we bioinformatically evaluated the diagnostic and therapeutic utility of immunogenic cell death-related genes (IRGs) and their relationship with immune infiltration features in CAD. Methods: We acquired the CAD-related datasets GSE12288, GSE71226, and GSE120521 from the Gene Expression Omnibus (GEO) database and the IRGs from the GeneCards database. After identifying the immune cell death-related differentially expressed genes (IRDEGs), we developed a risk model and detected immune subtypes in CAD. IRDEGs were identified using least absolute shrinkage and selection operator (LASSO) analysis. Using a nomogram, we confirmed that both the LASSO model and ICD signature genes had good diagnostic performance. Results: There was a high degree of coincidence and immune representativeness between two CAD groups based on characteristic genes and hub genes. Hub genes were associated with the interaction of neuroactive ligands with receptors and cell adhesion receptors. The two groups differed in terms of adipogenesis, allograft rejection, and apoptosis, as well as the ICD signature and hub gene expression levels. The two CAD-ICD subtypes differed in terms of immune infiltration. Conclusion: Quantitative real-time PCR (qRT-PCR) correlated CAD with the expression of OAS3, ITGAV, and PIBF1. The ICD signature genes are candidate biomarkers and reference standards for immune grouping in CAD and can be beneficial in precise immune-targeted therapy.