The fasting glucose (FG) levels are weakly negatively correlated with APRIL serum levels in diabetic patients. by Adriana Carvalho-Santos (814114)

Tubulin modifications and gamma-tubulin distribution in the tegument. by Inés Guarnaschelli (18102211)

Replacement of the N-type <i>Arsenophonus</i> in <i>N</i>. <i>lugens</i> with S-type <i>Arsenophonus</i> impacts the host’s insecticide resistance. by Rui Pang (1601419)

LY5 does not inhibit growth of <i>ex vivo</i> pulmonary metastasis. by Peter Y. Yu (4281448)

The association of diabetic retinopathy with metabolic syndrome. by Lu Gao (44114)

“…When patients were grouped according to the number of detected components of the metabolic syndrome, the percentage of patients with DR increased linearly with the increasing number of components in their respective groups (14.3%, 38.9%, 49.1%, 61.4%, 83.3%, respectively), whereas, the percentage of patients without DR decreased with the increasing number of components (85.7%, 61.1%, 50.9%, 38.6%, 16.7%, respectively) (Pearson χ² = 9.938, P = 0.037). …”

Expression levels of <i>Alox15</i>, <i>Hmox1</i> and <i>Fth1</i> in pulmonary myeloid cell populations. by Emilie Pollenus (10147748)

Intervention effect regarding eye product AMU. by Nafsika Kardomatea (15285407)

“…The intervention effect was modelled using a step function with a change in (linear) time trend and clinic characteristics, as potential determinants of topical AMU, were assessed using a multivariable regression model. …”

Intervention effect regarding skin product AMU. by Nafsika Kardomatea (15285407)

“…The intervention effect was modelled using a step function with a change in (linear) time trend and clinic characteristics, as potential determinants of topical AMU, were assessed using a multivariable regression model. …”

Intervention effect regarding ear product AMU. by Nafsika Kardomatea (15285407)

“…The intervention effect was modelled using a step function with a change in (linear) time trend and clinic characteristics, as potential determinants of topical AMU, were assessed using a multivariable regression model. …”

S1 Data - by Xiaoguang Zhang (1397257)

Tun impairs alveolarization in NOX neonatal rat lungs. by Kirkwood A. Pritchard Jr. (13449794)

“…The decreased radial alveolar counts (RAC; 2.9±0.5 <i>vs</i> 4.8±0.7, n = 11, 5 males and 5 females each group, p<0.001) (<b>A</b>), increased mean linear intercepts (MLI; 77.8±6.8 μm <i>v</i>.…”

Fig 1 - by Leila Vahdatiraad (17382718)

Scores of each variable in the main components. by Leila Vahdatiraad (17382718)

“…Stellate sturgeon (<i>Acipenser stellatus</i>) fry, was exposed to diazinon (25, 50, and 75% of 96h-LC₅₀) for 6 days after pre-treatment with an HSP inducer (HSPi), TEX-OE^® (a prickly pear cactus extract), for 4 hours. …”

Schematic presentation of different GTRN motifs. by Alok Kumar Maity (2212204)

The daily pattern of water supply head entries of pairs of rats in 10-minutes epochs. by Piotr Popik (292215)

Smoking impact on fibrosis and cancer gene expression. by Lorise C. Gahring (271630)

“…Even at this low magnification the increased dysplasia of the bronchial lining is visible (asterisks). Bar = 50 microns. B. Plots show the relative expression of selected pro-fibrotic genes in the α7^G or the α7^E260A:G and the relative impact of either LPS (from [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0187773#pone.0187773.ref007" target="_blank">7</a>]) or CS (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0187773#pone.0187773.t002" target="_blank">Table 2</a>). …”

Changes to distal lung structure of both α7 genotypes with and without CS exposure. by Lorise C. Gahring (271630)

“…In these representative sections the arrows point to AMs and in the α7^E260A:G arrow heads identify regions of increased cellularity that produce alveolar sacs of decreased size. …”

Temporal bias in blink patterns induces spurious distortion of pupil time course in the auditory oddball task. by Kyung Yoo (11851776)

Fig 1 - by Benazir Hodzic-Santor (14593183)

“…<p>Top 50 drugs with (A) greatest percentage increase and (B) greatest percentage decrease in average spending per beneficiary between 2014 and 2020.…”

Fig 3 - by Benazir Hodzic-Santor (14593183)

“…<p>Percentage change in beneficiaries for the top 50 drugs with (A) greatest increase and (B) greatest decrease in average spending per beneficiary between 2014 and 2020.…”