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DNA double-strand breaks (DSBs) are the most deleterious type of DNA damage and a cause of genetic instability as they can lead to mutations, genome rearrangements, or loss of genetic material when not properly repaired. Eukaryotes from budding yeast to mammalian cells respond to the formation of DSBs with the immediate phosphorylation of a histone H2A isoform. The modified histone, phosphorylated in serine 139 in mammals (S129 in yeast), is named γ-H2AX. Detection of DSBs is of high relevance in research on DNA repair, aging, tumorigenesis, and cancer drug development, given the tight association of DSBs with different diseases and its potential to kill cells. DSB levels can be obtained by measuring levels of γ-H2AX in extracts of cell populations or by counting foci in individual nuclei. In this chapter some techniques to detect γ-H2AX are described.
The aim of our study was to investigate the hemostatic effect of local and intravenously administered tranexamic acid (TXA) at the same dose in total hip arthroplasty.
The prospective study included 72 patients who underwent total hip arthroplasty in our hospital between March 2018 and March 2019. The patients enrolled in the study were randomly divided into two groups the observation group (36 patients were injected with 2.0g TXA in 10mL 0.9% NaCl using the joint cavity drainage tube after suturing the joint capsule) and the control group (36 patients were given an intravenous infusion of 2g TXA in 200mL 0.9% NaCl 30min before the operation). In each patient, apparent blood loss, hidden blood loss, average blood transfusion, and the number of cases receiving blood transfusion were compared between the two groups after treatment. Hematocrit (Hct) and hemoglobin (Hb) levels were recorded at postoperative day (POD) 1, 2, 3, 7, and 10. We also recorded the levels of C-reactive protein (CRP) and interleukin-6ing bleeding and inflammatory reaction with a good safety profile; however, the effect of local application had superior therapeutic values.
Local and intravenous applications of TXA at the same dose are effective approaches in terms of reducing bleeding and inflammatory reaction with a good safety profile; however, the effect of local application had superior therapeutic values.Pediatric acute lymphoblastic leukemia (ALL) through machine learning (ML) technique was analyzed to determine the significance of clinical and phenotypic variables as well as environmental conditions that can identify the underlying causes of child ALL. Fifty pediatric patients (n = 50) included who were diagnosed with acute lymphoblastic leukemia (ALL) according to the inclusion and exclusion criteria. Clinical variables comprised of the blood biochemistry (CBC, LFTs, RFTs) results, and distribution of type of ALL, i.e., T ALL or B ALL. Phenotypic data included the age, sex of the child, and consanguinity, while environmental factors included the habitat, socioeconomic status, and access to filtered drinking water. Fifteen different features/attributes were collected for each case individually. To retrieve most useful discriminating attributes, four different supervised ML algorithms were used including classification and regression trees (CART), random forest (RM), gradient boosted machine (GM), and C5.0 djor factor in predicting pediatric ALL. The machine learning algorithms can be applied efficiently to provide details for the prognosis for better treatment outcome. Graphical Abstract Identification of significant risks in pediatric acute lymphoblastic leukemia (ALL) through machine learning (ML) approach.During thyroid ultrasound diagnosis, radiologists add markers such as pluses or crosses near a nodule's edge to indicate the location of a nodule. For computer-aided detection, deep learning models achieve classification, segmentation, and detection by learning the thyroid's texture in ultrasound images. Experiments show that manual markers are strong prior knowledge for data-driven deep learning models, which interferes with the judgment mechanism of computer-aided detection systems. Aiming at this problem, this paper proposes cascade marker removal algorithm for thyroid ultrasound images to eliminate the interference of manual markers. The algorithm consists of three parts. First, in order to highlight marked features, the algorithm extracts salient features in thyroid ultrasound images through feature extraction module. Secondly, mask correction module eliminates the interference of other features besides markers' features. Finally, the marker removal module removes markers without destroying the semantic e the interference of manual markers. Our algorithm make deep learning models pay attention on nodules' features of thyroid ultrasound images, which make computer-aided diagnosis system performs good in both marked imaging and unmarked imaging.
Bariatric surgery (BS) has been recognized as an effective treatment for most patients with morbid obesity, but a variable range of patients failed to achieve a successful weight-loss. Controversial data are available about predictors of unsuccess. We aimed to retrospectively assess whether clinical baseline characteristics of patients submitted to sleeve gastrectomy (SL) or gastric bypass (GBP) were associated with unsuccessful weight-loss after 12 and 24-month follow-up.
Three hundred patients who underwent BS from the 1st January 2016, with at least 24-months follow-up, were enrolled. Patients were divided according to their percentage of excess weight-loss (%EWL) either < 50% or ≥ 50% after 12 and 24-month follow-up.
None of the patients was lost at follow-up; 56 (18.7%) patients showed a %EWL < 50% at 24months. Age, neck circumference, obstructive sleep apnea (OSA) were significantly higher, while total cholesterol and %EWL 6-months lower in those with %EWL < 50% at 12-months. PFI-3 cost Age, neck ciup are needed to confirm these results.
The objective of our meta-analysis was to estimate the effect of VTS on obstetric outcomes of ART singletons.
PubMed, Embase, MEDLINE, and ClinicalTrials.gov were searched up to January 2019 to find studies reporting the obstetric outcomes of ART singletons with VTS. Dichotomous data were expressed as odds ratios (OR) with 95% confidence intervals (CI). Continuous data were expressed as weighted mean difference (WMD) with 95% CI.
A total of 17 observational studies encompassing more than 60,000 ART singletons were included in this meta-analysis. The impact of VTS on singletons was highly dependent on the definition of VTS, precisely, the vanishing timing and intrauterine growth stage. When VTS happened at or before 14 weeks, regardless of intrauterine growth stage, there were no differences in terms of gestational age (GA) [WMD = - 0.08, 95% CI = - 0.27, 0.10], preterm birth (< 37 weeks) (PTB) [OR = 1.23, 95% CI = 0.89, 1.70], and low birth weight (< 2.5 kg) (LBW) [OR = 1.56, 95% CI = 1.00, 2.43] in original singletons versus singleton with VTS.