Nomogram to predict recurrence risk factors in patients with non-valvular paroxysmal atrial fibrillation after catheter radiofrequency ablation.

BACKGROUND: Radiofrequency catheter ablation (RFCA) is an effective method for controlling the heart rate of paroxysmal atrial fibrillation (PAF). However, recurrence is trouble under the RFCA. To gain a deeper understanding of the risk factors for recurrence in patients, we created a nomogram model to provide clinicians with treatment recommendations. METHODS: A total of two hundred thirty-three patients with PAF treated with RFCA at Guizhou Medical University Hospital between January 2021 and December 2022 were consecutively included in this study, and after 1 year of follow-up coverage, 166 patients met the nadir inclusion criteria. Patients with AF were divided into an AF recurrence group and a non-recurrence group. The nomogram was constructed using univariate and multivariate logistic regression analyses. By calculating the area under the curve, we analyzed the predictive ability of the risk scores (AUC). In addition, the performance of the nomogram in terms of calibration, discrimination, and clinical utility was evaluated. RESULTS: At the 12-month follow-up, 48 patients (28.92%) experienced a recurrence of AF after RFCA, while 118 patients (71.08%) maintained a sinus rhythm. In addition to age, sex, and TRV, LAD, and TTPG were independent predictors of recurrence of RFCA. The c-index of the nomogram predicted AF recurrence with an accuracy of .723, showing good decision curves and a calibrated nomogram, as determined by internal validation using a bootstrap sample size of 1000. CONCLUSION: We created a nomogram based on multifactorial logistic regression analysis to estimate the probability of recurrence in patients with atrial fibrillation 1 year after catheter ablation. This plot can be utilized by clinicians to predict the likelihood of recurrence.

Lipoamide Attenuates Hypertensive Myocardial Hypertrophy Through PI3K/Akt-Mediated Nrf2 Signaling Pathway.

The process of myocardial hypertrophy in hypertension can lead to excessive activation of oxidative stress. Lipoamide (ALM) has significant antioxidant and anti-inflammatory effects. This study aimed to investigate the effects of ALM on hypertension-induced cardiac hypertrophy, as well as explore its underlying mechanisms. We evaluated the effects of ALM on spontaneously hypertensive rats and rat cardiomyocytes treated with Ang II. We found that ALM was not effective in lowering blood pressure in SHR, but it attenuated hypertension-mediated cardiac fibrosis, oxidative stress, inflammation, and hypertrophy in rats. After that, in cultured H9C2 cells stimulated with Ang II, ALM increased the expression of antioxidant proteins that were decreased in the Ang II group. ALM also alleviated cell hypertrophy and the accumulation of ROS, while LY294002 partially abrogated these effects. Collectively, these results demonstrate that ALM could alleviate oxidative stress in cardiac hypertrophy, potentially through the activation of the PI3K/Akt-mediated Nrf2 signaling pathway.

BST-1 aggravates aldosterone-induced cardiac hypertrophy via the Ca2+ /CaN/NFATc3 pathway.

BST-1 (bone marrow stromal cell antigen-1) is thought to be a key molecule involved in regulating the functional activity of cells in various tissues and organs. BST-1 can catalyze the hydrolysis of nicotinamide adenine dinucleotide (NAD+) to produce cyclic ADP ribose (cADPR), which activates the activity of intracellular Ca2+ signaling. Currently, the role of BST-1 regulation of Ca2+ signaling pathway in pathological myocardial hypertrophy is unclear. We found elevated expression of BST-1 in cardiac hypertrophy tissues of spontaneously hypertensive rats in our vivo study, subsequently; the mechanism of BST-1 action on myocardial hypertrophy was explored in vitro experiment. We used aldosterone (ALD) to induce H9C2 cellular hypertrophy. cADPR levels and intracellular Ca2+ concentrations declined and calcium-regulated neurophosphatase (CaN) activity and protein expression were decreased after BST-1 knockdown. And then activated T-cell nuclear factor (NFATc3) entry nucleus was inhibited. All of the above resulted in that H9C2 cells size was reduced by rhodamine-phalloidin staining. Thus, BST-1 may exacerbate cardiac hypertrophy by activating the Ca2+/CaN/NFATc3 pathway.

Analysis of volatile organic compounds in exhaled breath after radiotherapy.

Radiotherapy uses high-energy X-rays or other particles to destroy cancer cells and medical practitioners have used this approach extensively for cancer treatment (Hachadorian et al., 2020). However, it is accompanied by risks because it seriously harms normal cells while killing cancer cells. The side effects can lower cancer patients' quality of life and are very unpredictable due to individual differences (Bentzen, 2006). Therefore, it is essential to assess a patient's body damage after radiotherapy to formulate an individualized recovery treatment plan. Exhaled volatile organic compounds (VOCs) can be changed by radiotherapy and thus used for medical diagnosis (Vaks et al., 2012). During treatment, high-energy X-rays can induce apoptosis; meanwhile, cell membranes are damaged due to lipid peroxidation, converting unsaturated fatty acids into volatile metabolites (Losada-Barreiro and Bravo-Díaz, 2017). At the same time, radiotherapy oxidizes water, resulting in reactive oxygen species (ROS) that can increase the epithelial permeability of pulmonary alveoli, enabling the respiratory system to exhale volatile metabolites (Davidovich et al., 2013; Popa et al., 2020). These exhaled VOCs can be used to monitor body damage caused by radiotherapy.

Detection of Volatile Organic Compounds in a Drop of Urine by Ultrasonic Nebulization Extraction Proton Transfer Reaction Mass Spectrometry.

Detection of volatile organic compounds (VOCs) in human urine has potential application value in screening for disease and toxin exposure. However, the current technologies are too slow to detect the concentration of VOCs in fresh urine. In this study, we developed a novel ultrasonic nebulization extraction proton transfer reaction mass spectrometry (UNE-PTR-MS) technology. The urinary VOCs can be rapidly extracted to gaseous VOCs using the UNE system and then delivered using a carrier gas to the PTR-MS instrument for rapid detection. The carrier gas flow and sample size were optimized to 100 mL/min and 100 µL, respectively. The limits of detection (LODs) and response time of the UNE-PTR-MS were evaluated by detecting three VOCs that are common in human urine: methanol, acetaldehyde, and acetone. The LODs determined for methanol (4.47 µg/L), acetaldehyde (1.98 µg/L), and acetone (3.47 µg/L) are 2-3 orders of magnitude lower than the mean concentrations of that in healthy human urine. The response time of the UNE-PTR-MS is 34 s and only 0.66 mL of urine is required for a full scan. The repeatability of this UNE-PTR-MS was evaluated, and the relative standard deviations of 5 independent determinations were between 4.62% and 5.21%. Lastly, the UNE-PTR-MS was applied for detection of methanol, acetaldehyde, and acetone in real human urine to test matrix effects, yielding relative recoveries of between 88.39% and 94.54%. These results indicate the UNE-PTR-MS can be used for the rapid detection of VOCs in a drop of urine and has practical potential for diagnosing disease or toxin exposure.

Spray Inlet Proton Transfer Reaction Mass Spectrometry (SI-PTR-MS) for Rapid and Sensitive Online Monitoring of Benzene in Water.

Rapid and sensitive monitoring of benzene in water is very important to the health of people and for environmental protection. A novel and online detection method of spray inlet proton transfer reaction mass spectrometry (SI-PTR-MS) was introduced for rapid and sensitive monitoring of trace benzene in water. A spraying extraction system was coupled with the self-developed PTR-MS. The benzene was extracted from the water sample in the spraying extraction system and continuously detected with PTR-MS. The flow of carrier gas and salt concentration in water were optimized to be 50 sccm and 20% (w/v), respectively. The response time and the limit of detection of the SI-PTR-MS for detection of benzene in water were 55 s and 0.14 µg/L at 10 s integration time, respectively. The repeatability of the SI-PTR-MS was evaluated, and the relative standard deviation of five replicate determinations was 4.3%. The SI-PTR-MS system was employed for monitoring benzene in different water matrices, such as tap water, lake water, and wastewater. The results indicated that the online SI-PTR-MS can be used for rapid and sensitive monitoring of trace benzene in water.