Spontaneous oxycodone withdrawal disrupts sleep/wake architecture. by Michael Gulledge (20577135)

“…For lights on, when rats show less % time asleep, the number of NREM (<b>B, left panel</b>) and Wake (<b>D, left panel</b>) bouts is increased, with corresponding decreases in NREM and REM bout duration. For lights off, there is a significant increase in the # of bouts of all sleep stages (<b>B, C, D, right panels</b>) with a corresponding decrease in Wake bout duration (<b>D, right panel</b>). …”

Inhibiting translation in 5-HT neurons does not recapitulate a <i>Minute</i> phenotype. by Lisa Patricia Deliu (13570709)

related to Fig 6: Aldolase A critically regulates the assembly of v-ATPase and phagosome acidification. by Saray Gutiérrez (11473528)

LY294002 decreases flagellin-induced Akt/mTOR activation but does not affect p44/42 MAPK (Erk1/2) activation. by Wenlei Bao (735037)

Data_Sheet_1_Platelet Phenotype Analysis of COVID-19 Patients Reveals Progressive Changes in the Activation of Integrin αIIbβ3, F13A1, the SARS-CoV-2 Target EIF4A1 and Annexin A5.d... by Huriye Ercan (11679229)

“…Depending on COVID-19 disease status and mortality, increased amounts of annexin A5 (ANXA5), eukaryotic initiation factor 4A-I (EIF4A1), and transaldolase (TALDO1) were found in the platelet proteome and also correlated with the nasopharyngeal viral load. …”

Systematic Analyses of the Resistance Potential of Drugs Targeting SARS-CoV‑2 Main Protease by Julia M. Flynn (16475720)

“…To understand resistance potential in M^pro, we performed comprehensive surveys of amino acid changes that can cause resistance to nirmatrelvir (Pfizer), and ensitrelvir (Xocova) in a yeast screen. …”

Systematic Analyses of the Resistance Potential of Drugs Targeting SARS-CoV‑2 Main Protease by Julia M. Flynn (16475720)

“…To understand resistance potential in M^pro, we performed comprehensive surveys of amino acid changes that can cause resistance to nirmatrelvir (Pfizer), and ensitrelvir (Xocova) in a yeast screen. …”

Examining the Desirable Properties of ZnSnO_<i>y</i> by Annealing Treatment with a Real-Time Observation of Resistivity by Aitkazy Kaisha (7853474)

OIP5-AS1 binds to miR-145-5p. by Jingyan Yang (7120994)

Why should we apply ABM for decision analysis for infectious diseases?—An example for dengue interventions by Florian Miksch (7313999)

“…The analyzed hypothetical effectiveness of dengue interventions showed that a reduced human-mosquito ratio of 1:2.5 during rainy seasons leads already to a substantial decrease of infected persons. …”

SEM images (a) 5LZCM (b) 10LZCM (c) 15LZCM. by Md. Abu Daud (21485629)

Adjusted 5-year risk of cardiovascular diseases (CVD) under different levels of HbA1c-SD, FPG-SD, and HbA1c value, using parametric g-formula. by Khadije Maajani (10125692)

Models for changes in DNA methylation of the <i>WNT5A</i> promoter B region during progression of osteoblast cells to osteosarcoma. by Himani Vaidya (3179403)

“…B) NCBI Epigenomics search for CTCF binding in the <i>WNT5A</i> genomic region of human osteoblasts. Location of the CpG regions R3, R4, and R5 are indicated, along with promoter A exon 1 (box) and promoter B exon 1β (box at arrow). …”

The interactive effects between low level isopropyl alcohol exposure and basic characteristics on arterial blood pressures(mmHg). by Zhiqiang Zhao (201543)

Alprenolol-biotin binding in subsets of peripheral blood cells is decreased in PAH as compared to controls. by Jonathan A. Rose (2822210)

The mature form of miR-33a, miR-33a-5p downregulates the β-catenin gene. by Yi Fang (287944)

“…The β-catenin protein levels were normalized relative to β-actin in (A). (C) miR-33a-5p decreases β-catenin mRNA levels in Chang liver and HepG2 cells. …”

Lifetime risk of developing type 2 diabetes, for cohorts of 25 years-old individuals according to scenarios. by Pierre Bauvin (18154818)

“…<p>Initial weight distribution is representative of the one of the 25 years-old individuals in 2022: A) men, 73.2% normal weight, 17.9% overweight, 6.6% obese class I, 1.9% obese class II, 0.5% obese class III, and B) women, 81.0% normal weight, 9.7% overweight, 5.4% obese class I, 2.6% obese class II, 1.3% obese class III. …”

Markov model states and transition. by Pierre Bauvin (18154818)

“…Only the prevalence of obesity III shows early change able to predict the outcome of a strategy: for example, 6.7%-decrease at one year, 13.3%-decrease at two years with scenario 1 stabilizing obesity at 5 years.…”

Prevalence of overweight, obesity I, obesity II, obesity III and type 2 diabetes, from 2022 to 2027, according to status quo and the 3 scenarios. by Pierre Bauvin (18154818)

<i>I</i>_<i>h</i> activation may increase or decrease the threshold for L5PC action potential firing by a strong apical dendritic input, depending on the location of the input. by Tuomo Mäki-Marttunen (388882)