Preterm birth and ambient temperature: Strong association during night-time and warm seasons

2018 ◽  
Vol 78 ◽  
pp. 381-390 ◽  
Author(s):  
Qiong Zhong ◽  
Chan Lu ◽  
Weishe Zhang ◽  
Xiangrong Zheng ◽  
Qihong Deng
2019 ◽  
Vol 126 ◽  
pp. 7-13 ◽  
Author(s):  
Shengzhi Sun ◽  
Kate R. Weinberger ◽  
Keith R. Spangler ◽  
Melissa N. Eliot ◽  
Joseph M. Braun ◽  
...  

2018 ◽  
Vol 613-614 ◽  
pp. 439-446 ◽  
Author(s):  
Tongjun Guo ◽  
Yuanyuan Wang ◽  
Hongguang Zhang ◽  
Ya Zhang ◽  
Jun Zhao ◽  
...  

2018 ◽  
Vol 634 ◽  
pp. 579-585 ◽  
Author(s):  
Shanshan Li ◽  
Gongbo Chen ◽  
Jouni J.K. Jaakkola ◽  
Gail Williams ◽  
Yuming Guo

2010 ◽  
Vol 100 (4) ◽  
pp. 258-264 ◽  
Author(s):  
Rachel A. Nardin ◽  
Patricia M. Fogerson ◽  
Rui Nie ◽  
Seward B. Rutkove

Background: Patient complaints of excessively warm or cold feet are common in medical practice. Such symptoms can be caused by underlying vascular or neurologic disease, and measurement of foot temperature during daily activity and sleep could provide a deeper understanding of their actual thermal basis. Methods: We used a Thermochron iButton to assess surface foot temperature variation and its relationship to ambient temperature during the day with activity and at night during sleep in 39 healthy individuals aged 18 to 65 years in a temperate region of the United States. We simultaneously used actigraphy to record leg movement. Results: We identified a mean ± SD awake temperature of 30.6° ± 2.6° C and asleep temperature of 34.0° ± 1.8° C, with values reaching as low as 15.9°C in the winter and as high as 37.5°C in the summer. Foot temperature was found to be independent of foot movement or sex; however, there was, as expected, a strong association between foot temperature and ambient temperature (r = .59, P < .001). Several measures of foot temperature variation demonstrated a significant or near-significant reduction with increasing age, including the Euclidean distance (r = −.38, P = .02) for awake periods and the variance (r = −.30, P = .06) during sleep. Conclusions: These results provide data on the normal variation of foot temperature in individuals living in a temperate climate and demonstrate the potential use of Thermochron iButton technology in clinical contexts, including the evaluation of patients with excessively warm or cold feet. (J Am Podiatr Med Assoc 100(4): 258–264, 2010)


2021 ◽  
Author(s):  
Humaira Amin ◽  
Syed Habib Bokhari ◽  
Khuram Shahzad

Abstract Preterm birth (PTB) is one of the major reasons of infant mortalities and morbidities worldwide. Exact mechanism of this disease has not been elucidated yet but studies have shown several factors which have been found associated with the disease. Through several studies, it has been discovered that different chronic diseases like obesity, type 1 diabetes and periodontitis are also associated with PTB but no omics studies have yet been performed to discover their association. In the current study, comparative transcriptome analysis of the preterm birth with type 1 diabetes, obesity and periodontitis using integrated bioinformatics approach was performed to validate their association with preterm birth. Four different datasets retrieved from Gene expression omnibus (GEO) were processed through Bioconductor packages in R. Pairwise comparison of preterm was performed with all three diseases. Several bioinformatics tools were used such as DAVID for Gene ontology (GO) terms and pathway analysis, DIA for impact and direction of KEGG pathways and Cytoscape along with its different plugins for construction of networks, identification of hub genes and modules. Significant number of common differentially expressed genes between datasets and their roles in different pathways were identified. Most of the significant genes and pathways found in these comparisons were involved in initiating different inflammatory processes, degradation of proteins leading to preterm premature rupture of membranes (PPROM), preeclampsia, and cancer which are the known risk factors of PTB. According to our results, all these three chronic diseases were found to have a strong association with PTB.


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