Tag: pubmed

Cancer Control. 2023 Jan-Dec;30:10732748231180745. doi: 10.1177/10732748231180745.

ABSTRACT

BACKGROUND: There are few clinical symptoms in early colorectal cancer, so it is necessary to find a simple and economical tumor detection index for auxiliary diagnosis. This study aims to explore the diagnostic value of preoperative inflammation-related indicators, such as neutrophil, lymphocyte, platelet count, platelet to lymphocyte ratio (PLA), neutrophil to lymphocyte ratio (NLR), and systemic immune-inflammation index (SII), for early colorectal cancer, and determine whether inflammation-related indicators can provide more accurate diagnostic judgment for patients.

METHODS: This study was a retrospective study. Patients who were first diagnosed with colorectal cancer or colorectal adenomatous polyp at Beijing Friendship Hospital from October 2016 to October 2017 were retrospectively collected. According to inclusion and exclusion criteria, a total of 342 patients were included, including 216 patients with colorectal cancer and 126 patients with colorectal adenomatous polyp. Fasting venous blood and other clinical features were collected to compare the differences between colorectal cancer and colorectal adenoma.

RESULTS: There were statistically significant differences in age, carcinoembryonic antigen, albumin, hemoglobin, mean platelet volume, lymphocyte, monocyte, NLR, PLA, SII, and mean platelet volume to platelet count ratio between colorectal cancer group and colorectal adenoma group (P < .05), and a Nomogram model was established. Using inflammatory markers to differentiate colorectal and colorectal polyps produced greater AUC than using tumor markers alone (.846 vs .695).

CONCLUSION: Inflammation-related indicators, such as lymphocyte, monocyte, and mean platelet volume, may serve as potential indicators to assist in the diagnosis of early colorectal cancer.

PMID:37421141 | DOI:10.1177/10732748231180745

J Int Med Res. 2023 Jul;51(7):3000605231184036. doi: 10.1177/03000605231184036.

ABSTRACT

OBJECTIVE: To investigate the effect of the coronavirus disease (COVID-19) pandemic on lifestyle behaviour and clinical data in a population who underwent an annual health check-up in Tokyo, Japan.

METHODS: A self-report questionnaire was completed regarding changes in their physical activities, diet, alcohol intake, smoking and mental stress. For those recommended to undergo further examination or treatment, their intention to do so was also questioned. The clinical results of the check-ups across three different periods (before and during the pandemic and survey period) were statistically compared.

RESULTS: During the survey period, 838 examinees responded. While physical activities decreased due to teleworking, changes in food intake and dietary patterns were varied. Furthermore, changes in mental stress were also diverse. As for the intention to undergo further clinical examination or treatment, 23.5% answered that they thought they would wait until the government lifted the state of emergency or the pandemic subsided. Compared with before the pandemic, diastolic blood pressure, liver function, kidney function and bone density tended to deteriorate.

CONCLUSIONS: The COVID-19 pandemic affected the lifestyle of the current study population. To prepare for future outbreaks, real-world information should be collected and shared so that effective measures for health promotion can be developed.

PMID:37421140 | DOI:10.1177/03000605231184036

Eur Stroke J. 2023 Jul 7:23969873231185895. doi: 10.1177/23969873231185895. Online ahead of print.

ABSTRACT

BACKGROUND: Retinal artery occlusion (RAO) may lead to irreversible blindness. For acute RAO, intravenous thrombolysis (IVT) can be considered as treatment. However, due to the rarity of RAO, data about IVT safety and effectiveness is limited.

METHODS: From the multicenter database ThRombolysis for Ischemic Stroke Patients (TRISP), we retrospectively analyzed visual acuity (VA) at baseline and within 3 months in IVT and non-IVT treated RAO patients. Primary outcome was difference of VA between baseline and follow up (∆VA). Secondary outcomes were rates of visual recovery (defined as improvement of VA ⩾ 0.3 logMAR), and safety (symptomatic intracranial hemorrhage (sICH) according to ECASS II criteria, asymptomatic intracranial hemorrhage (ICH) and major extracranial bleeding). Statistical analysis was performed using parametric tests and a linear regression model adjusted for age, sex and baseline VA.

RESULTS: We screened 200 patients with acute RAO and included 47 IVT and 34 non-IVT patients with complete information about recovery of vision. Visual Acuity at follow up significantly improved compared to baseline in IVT patients (∆VA 0.5 ± 0.8, p < 0.001) and non-IVT patients (∆VA 0.40 ± 1.1, p < 0.05). No significant differences in ∆VA and visual recovery rate were found between groups at follow up. Two asymptomatic ICH (4%) and one (2%) major extracranial bleeding (intraocular bleeding) occurred in the IVT group, while no bleeding events were reported in the non-IVT group.

CONCLUSION: Our study provides real-life data from the largest cohort of IVT treated RAO patients published so far. While there is no evidence for superiority of IVT compared to conservative treatment, bleeding rates were low. A randomized controlled trial and standardized outcome assessments in RAO patients are justified to assess the net benefit of IVT in RAO.

PMID:37421135 | DOI:10.1177/23969873231185895

Biophys J. 2023 Jul 6:S0006-3495(23)00430-7. doi: 10.1016/j.bpj.2023.07.003. Online ahead of print.

ABSTRACT

3D single molecule tracking microscopy has enabled measurements of protein diffusion in living cells, offering information about protein dynamics and cellular environments. For example, different diffusive states can be resolved and assigned to protein complexes of different size and composition. However, substantial statistical power and biological validation, often through genetic deletion of binding partners, are required to support diffusive state assignments. When investigating cellular processes, real-time perturbations to protein spatial distributions is preferable to permanent genetic deletion of an essential protein. For example, optogenetic dimerization systems can be used to manipulate protein spatial distributions which could offer a means to deplete specific diffusive states observed in single-molecule tracking experiments. Here, we evaluate the performance of the iLID optogenetic system in living E. coli cells using diffraction-limited microscopy and 3D single-molecule tracking. We observed a robust optogenetic response in protein spatial distributions after 488 nm laser activation. Surprisingly, 3D single-molecule tracking results indicate activation of the optogenetic response when illuminating with high intensity light with wavelengths at which there is minimal photon absorbance by the LOV2 domain. The pre-activation can be minimized through the use of iLID system mutants, and titration of protein expression levels.

PMID:37421134 | DOI:10.1016/j.bpj.2023.07.003

Med Sci Monit. 2023 Jul 8;29:e939482. doi: 10.12659/MSM.939482.

ABSTRACT

BACKGROUND Patients with insulin-resistant diabetes have the highest risk of kidney disease. The triglyceride glucose (TyG) index is considered a reliable and simple marker of insulin resistance. We studied the relationship between the TyG index, diabetic kidney disease (DKD), and related metabolic disorders in patients with type 2 diabetes. MATERIAL AND METHODS This retrospective study included a consecutive case series from January 2021 to October 2022 in the Department of Endocrinology at Hebei Yiling Hospital. In total, 673 patients with type 2 diabetes met the inclusion criteria. The TyG index was calculated by napierian logarithmic (ln) (fasting triglyceride×fasting glucose /2). Patient demographic and clinical indicators were obtained from medical records, and statistical analysis was conducted using SPSS version 23. RESULTS The TyG index was significantly related to metabolic indicators (low-density lipoprotein, high-density lipoprotein, alanine aminotransferase, plasma albumin, serum uric acid, triglyceride, and fasting glucose) and urine albumin (P<0.01) but not with serum creatinine and estimated glomerular filtration rate. In multiple regression analysis, an increase in the TyG index was revealed to be an independent risk factor for DKD (OR: 1.699, P<0.001). CONCLUSIONS The TyG index was independently related to DKD and related metabolic disorders; therefore, the TyG index can be used as an early sensitive target for clinical guidance in the treatment of DKD with insulin resistance.

PMID:37421131 | DOI:10.12659/MSM.939482

Micromachines (Basel). 2023 Apr 14;14(4):848. doi: 10.3390/mi14040848.

ABSTRACT

PURPOSE: This study aims to evaluate the efficiency of infrared LEDs with a magnetic solenoid field in lowering the quantity of gram-positive Staphylococcus aureus and gram-negative Escherichia coli bacteria, as well as the best exposure period and energy dose for inactivating these bacteria.

METHOD: Research has been performed on a photodynamic therapy technique called photodynamic inactivation (PDI), which combines infrared LED light with a wavelength range of 951-952 nm and a solenoid magnetic field with a strength of 0-6 mT. The two, taken together, can potentially harm the target structure biologically. Infrared LED light and an AC-generated solenoid magnetic field are both applied to bacteria to measure the reduction in viability. Three different treatments infrared LED, solenoid magnetic field, and an amalgam of infrared LED and solenoid magnetic field, were used in this study. A factorial statistical ANOVA analysis was utilized in this investigation.

RESULTS: The maximum bacterial production was produced by irradiating a surface for 60 min at a dosage of 0.593 J/cm², according to the data. The combined use of infrared LEDs and a magnetic field solenoid resulted in the highest percentage of fatalities for Staphylococcus aureus, which was 94.43 s. The highest percentage of inactivation for Escherichia coli occurred in the combination treatment of infrared LEDs and a magnetic field solenoid, namely, 72.47 ± 5.06%. In contrast, S. aureus occurred in the combined treatment of infrared LEDs and a magnetic field solenoid, 94.43 ± 6.63 percent.

CONCLUSION: Staphylococcus aureus and Escherichia coli germs are inactivated using infrared illumination and the best solenoid magnetic fields. This is evidenced by the rise in the proportion of bacteria that died in treatment group III, which used a magnetic solenoid field and infrared LEDs to deliver a dosage of 0.593 J/cm² over 60 min. According to the research findings, the magnetic field of the solenoid and the infrared LED field significantly impact the gram-positive bacteria S. aureus and the gram-negative bacteria E. coli.

PMID:37421081 | DOI:10.3390/mi14040848

Micromachines (Basel). 2023 Mar 31;14(4):793. doi: 10.3390/mi14040793.

ABSTRACT

When rotating at a high speed in a microscale flow field in confined spaces, rotors are subject to a complex flow due to the joint effect of the centrifugal force, hindering of the stationary cavity and the scale effect. In this paper, a rotor-stator-cavity (RSC) microscale flow field simulation model of liquid-floating rotor micro gyroscopes is built, which can be used to study the flow characteristics of fluids in confined spaces with different Reynolds numbers (Re) and gap-to-diameter ratios. The Reynolds stress model (RSM) is applied to solve the Reynolds averaged Navier-Stokes equation for the distribution laws of the mean flow, turbulence statistics and frictional resistance under different working conditions. The results show that as the Re increases, the rotational boundary layer gradually separates from the stationary boundary layer, and the local Re mainly affects the distribution of velocity at the stationary boundary, while the gap-to-diameter ratio mainly affects the distribution of velocity at the rotational boundary. The Reynolds stress is mainly distributed in boundary layers, and the Reynolds normal stress is slightly greater than the Reynolds shear stress. The turbulence is in the state of plane-strain limit. As the Re increases, the frictional resistance coefficient increases. When Re is within 10⁴, the frictional resistance coefficient increases as the gap-to-diameter ratio decreases, while the frictional resistance coefficient drops to the minimum when the Re exceeds 10⁵ and the gap-to-diameter ratio is 0.027. This study can enable a better understanding of the flow characteristics of microscale RSCs under different working conditions.

PMID:37421027 | DOI:10.3390/mi14040793

Micromachines (Basel). 2023 Mar 31;14(4):787. doi: 10.3390/mi14040787.

ABSTRACT

Single-cell analysis provides a wealth of information regarding the molecular landscape of the tumor cells responding to extracellular stimulations, which has greatly advanced the research in cancer biology. In this work, we adapt such a concept for the analysis of inertial migration of cells and clusters, which is promising for cancer liquid biopsy, by isolation and detection of circulating tumor cells (CTCs) and CTC clusters. Using high-speed camera tracking live individual tumor cells and cell clusters, the behavior of inertial migration was profiled in unprecedented detail. We found that inertial migration is heterogeneous spatially, depending on the initial cross-sectional location. The lateral migration velocity peaks at about 25% of the channel width away from the sidewalls for both single cells and clusters. More importantly, while the doublets of the cell clusters migrate significantly faster than single cells (~two times faster), cell triplets unexpectedly have similar migration velocities to doublets, which seemingly disagrees with the size-dependent nature of inertial migration. Further analysis indicates that the cluster shape or format (for example, triplets can be in string format or triangle format) plays a significant role in the migration of more complex cell clusters. We found that the migration velocity of a string triplet is statistically comparable to that of a single cell while the triangle triplets can migrate slightly faster than doublets, suggesting that size-based sorting of cells and clusters can be challenging depending on the cluster format. Undoubtedly, these new findings need to be considered in the translation of inertial microfluidic technology for CTC cluster detection.

PMID:37421020 | DOI:10.3390/mi14040787

Micromachines (Basel). 2023 Mar 29;14(4):750. doi: 10.3390/mi14040750.

ABSTRACT

Studies on using multifunctional graphene nanostructures to enhance the microfabrication processing of monolithic alumina are still rare and too limited to meet the requirements of green manufacturing criteria. Therefore, this study aims to increase the ablation depth and material removal rate and minimize the roughness of the fabricated microchannel of alumina-based nanocomposites. To achieve this, high-density alumina nanocomposites with different graphene nanoplatelet (GnP) contents (0.5 wt.%, 1 wt.%, 1.5 wt.%, and 2.5 wt.%) were fabricated. Afterward, statistical analysis based on the full factorial design was performed to study the influence of the graphene reinforcement ratio, scanning speed, and frequency on material removal rate (MRR), surface roughness, and ablation depth during low-power laser micromachining. After that, an integrated intelligent multi-objective optimization approach based on the adaptive neuro-fuzzy inference system (ANIFS) and multi-objective particle swarm optimization approach was developed to monitor and find the optimal GnP ratio and microlaser parameters. The results reveal that the GnP reinforcement ratio significantly affects the laser micromachining performance of Al₂O₃ nanocomposites. This study also revealed that the developed ANFIS models could obtain an accurate estimation model for monitoring the surface roughness, MRR, and ablation depth with fewer errors than 52.07%, 100.15%, and 76% for surface roughness, MRR, and ablation depth, respectively, in comparison with the mathematical models. The integrated intelligent optimization approach indicated that a GnP reinforcement ratio of 2.16, scanning speed of 342 mm/s, and frequency of 20 kHz led to the fabrication of microchannels with high quality and accuracy of Al₂O₃ nanocomposites. In contrast, the unreinforced alumina could not be machined using the same optimized parameters with low-power laser technology. Henceforth, an integrated intelligence method is a powerful tool for monitoring and optimizing the micromachining processes of ceramic nanocomposites, as demonstrated by the obtained results.

PMID:37420983 | DOI:10.3390/mi14040750

Micromachines (Basel). 2023 Mar 29;14(4):749. doi: 10.3390/mi14040749.

ABSTRACT

This paper proposes a deep learning model based on an artificial neural network with a single hidden layer for predicting the diagnosis of multiple sclerosis. The hidden layer includes a regularization term that prevents overfitting and reduces the model complexity. The purposed learning model achieved higher prediction accuracy and lower loss than four conventional machine learning techniques. A dimensionality reduction method was used to select the most relevant features from 74 gene expression profiles for training the learning models. The analysis of variance test was performed to identify the statistical difference between the mean of the proposed model and the compared classifiers. The experimental results show the effectiveness of the proposed artificial neural network.

PMID:37420982 | DOI:10.3390/mi14040749