The fecal components of Blaptica dubia and Blatta lateralis were analyzed and characterized using solid-phase microextraction-gas chromatography-mass spectrometry(SPME-GC-MS)to explore can-didate compounds mediating t...
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The fecal components of Blaptica dubia and Blatta lateralis were analyzed and characterized using solid-phase microextraction-gas chromatography-mass spectrometry(SPME-GC-MS)to explore can-didate compounds mediating their aggregation *** results revealed that hydrocarbons and alde-hydes accounted for the majority of the 85 components detected in the fecula of ***,with hexadecane(6.721%)and tetradecanal(6.555%)as the most *** the fecula of ***,esters and hy-drocarbons accounted for the majority of the 93 identified components,with 3-phenylpropionic acid methyl ester(10.020%)and 2,7-dioxa-tricyclo[4.4.0.0(3,8)]deca-4,9-diene(3.604%)hexadecane(2.504%)*** fecal compositions of the two cockroach species exhibited similarities,with seven common substances identified out of a total of *** relative percentages of these common components in the fecula were 68.516%for *** and 53.541%for ***.
In situ transcriptomic techniques promise a holistic view of tissue organization and cell-cell interactions. There has been a surge of multiplexed RNA in situ mapping techniques but their application to human tissues ...
In situ transcriptomic techniques promise a holistic view of tissue organization and cell-cell interactions. There has been a surge of multiplexed RNA in situ mapping techniques but their application to human tissues has been limited due to their large size, general lower tissue quality and high autofluorescence. Here we report DART-FISH, a padlock probe-based technology capable of profiling hundreds to thousands of genes in centimeter-sized human tissue sections. We introduce an omni-cell type cytoplasmic stain that substantially improves the segmentation of cell bodies. Our enzyme-free isothermal decoding procedure allows us to image 121 genes in large sections from the human neocortex in <10 h. We successfully recapitulated the cytoarchitecture of 20 neuronal and non-neuronal subclasses. We further performed in situ mapping of 300 genes on a diseased human kidney, profiled >20 healthy and pathological cell states, and identified diseased niches enriched in transcriptionally altered epithelial cells and myofibroblasts.
Objectives Subclinical thyroid disorders are common in pregnant women, which are associated with adverse pregnancy outcomes. Physiological changes in pregnancy and the lack of pregnancy-specific reference ranges pose ...
Objectives Subclinical thyroid disorders are common in pregnant women, which are associated with adverse pregnancy outcomes. Physiological changes in pregnancy and the lack of pregnancy-specific reference ranges pose great challenge for the managements of subclinical thyroid disorders in pregnancy. We aimed to establish trimester-specific thyroid hormone reference intervals throughout pregnancy in southern Chinese population. Methods we measured the serum thyroid hormone (TSH, FT4, TPO-AB) using Abbott electrochemiluminescence immunoassay in 5589 pregnant women during 2012–2013. Patients with known thyroid disorders, autoimmune disease, recurrent miscarriage, hyperemesis gravidarum and pre-eclampsia were excluded. Trimester-specific reference ranges (2.5th, 97.5th centiles) were calculated. Results TSH median T1: 1.19 ± 0.99 mIU/L ( N = 3532), T2: 1.40 ± 1.02 mIU/L ( N = 1623), T3: 1.48 ± 1.30 mIU/L ( N = 434). FT4 median T1: 15.7 ± 3.12 pmol/L ( N = 3532), T2: 13.81 ± 2.99 pmol/L ( N = 1623), T3: 12.92 ± 2.98 pmol/L ( N = 434). TSH reference range T1: 0.01–3.55 mIU/L, T2: 0.01–4.13 mIU/L, T3: 0–4.67 mIU/L. FT4 reference range T1: 12–21.44pmol/L, T2: 10.01–19.36 pmol/L, T3: 9.29–20.31 pmol/L. TSH slightly increased throughout gestation. FT4 decreased throughout gestation. Conclusions We established pregnancy-specific thyroid function reference intervals of southern Chinese population, which is beneficial in clinical practice. Disclosures L. Liu: None. X. zhang: None. J. Yang: None. X. Qian: None. Z. Zheng: None. X. Tang: None. H. Liu: None.
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