PEG30K-Cys-AEEAc-Fibrinopeptide A (1-15)
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PEG30K-Cys-AEEAc-Fibrinopeptide A (1-15)

* Please kindly note that our products are not to be used for therapeutic purposes and cannot be sold to patients.

Category
Others
Catalog number
BAT-014611
Molecular Formula
C66H101N17O29S + PEG30K
Molecular Weight
31629
Synonyms
PEG30K-Cys-AEEAc-Ala-Asp-Ser-Gly-Glu-Gly-Asp-Phe-Leu-Ala-Glu-Gly-Gly-Gly-Val-OH
Appearance
White Powder
Purity
≥95%
Sequence
PEG30K-C-AEEAc-ADSGEGDFLAEGGGV
Storage
Store at -20°C
Solubility
Soluble in Methanol
1. The Association Between Sleep and Metabolic Syndrome: A Systematic Review and Meta-Analysis
Tingting Che, Cheng Yan, Dingyuan Tian, Xin Zhang, Xuejun Liu, Zhongming Wu Front Endocrinol (Lausanne). 2021 Nov 19;12:773646. doi: 10.3389/fendo.2021.773646. eCollection 2021.
Purpose: Sleep duration is thought to play a key role in the development of metabolic syndrome. However, the results have been inconsistent. Methods: We conducted a systematic review and meta-analysis of cohort studies and searched publications in PubMed, Embase, Cochrane Central Register of Controlled Trials, and Clinicaltrials.gov. The summary relative risks (RRs) were estimated using a random model. The sensitivity analysis was performed by sequentially excluding each study to test the robustness of the pooled estimates. Finding: We included 13 studies involving 300,202 patients in which short sleep and long sleep significantly increased the risk of metabolic syndrome 15% (RR = 1.15, 95%CI = 1.09-1.22, p < 0.001) and 19% (RR = 1.19, 95%CI = 1.05-1.35, p < 0.001). Moreover, the relationship between sleep duration and metabolic syndrome risk presented a U-shaped curve. Short and long sleep increased the risk of obesity by 14% (RR = 1.14, 95%CI = 1.07-1.22, p<0.001) and 15% (RR = 1.15, 95%CI = 1.00-1.30, p = 0.04), and high blood pressure 16% (RR = 1.16, 95%CI = 1.02-1.31, p = 0.03) and 13% (RR = 1.13, 95%CI = 1.04-1.24, p = 0.01), respectively. Short sleep can potentially increase the risk of high blood sugar by 12% (RR = 1.12, 95%CI = 1.00-1.15, P = 0.05). Implications: Based on our findings, sleep is a behavior that can be changed and is economical. Clinically doctors and health professionals should be encouraged to increase their efforts to promote healthy sleep for all people.
2. Constipation and risk of death and cardiovascular events
Keiichi Sumida, Miklos Z Molnar, Praveen K Potukuchi, Fridtjof Thomas, Jun Ling Lu, Kunihiro Yamagata, Kamyar Kalantar-Zadeh, Csaba P Kovesdy Atherosclerosis. 2019 Feb;281:114-120. doi: 10.1016/j.atherosclerosis.2018.12.021. Epub 2018 Dec 23.
Background and aims: Constipation is one of the most frequent symptoms encountered in daily clinical practice and is implicated in the development of atherosclerosis, potentially through altered gut microbiota. However, little is known about its association with incident cardiovascular events. Methods: In a nationally representative cohort of 3,359,653 US veterans with an estimated glomerular filtration rate (eGFR) ≥60 mL/min/1.73 m2 between October 1, 2004 and September 30, 2006 (baseline period), with follow-up through 2013, we examined the association of constipation status (absence or presence; defined using diagnostic codes and laxative use) and laxative use (none, one, or ≥2 types of laxatives) with all-cause mortality, incident coronary heart disease (CHD), and incident ischemic stroke. Results: Among 3,359,653 patients, 237,855 (7.1%) were identified as having constipation. After multivariable adjustments for demographics, prevalent comorbidities, medications, and socioeconomic status, patients with (versus without) constipation had 12% higher all-cause mortality (hazard ratio [HR], 1.12; 95% CI, 1.11-1.13), 11% higher incidence of CHD (HR, 1.11; 95% CI, 1.08-1.14), and 19% higher incidence of ischemic stroke (HR, 1.19; 95% CI, 1.15-1.22). Patients with one and ≥2 (versus none) types of laxatives experienced a similarly higher risk of all-cause mortality (HRs [95% CI], 1.15 [1.13-1.16] and 1.14 [1.12-1.15], respectively), incident CHD (HRs [95% CI], 1.11 [1.07-1.15] and 1.10 [1.05-1.15], respectively) and incident ischemic stroke (HRs [95% CI], 1.19 [1.14-1.23] and 1.21 [1.16-1.26], respectively). Conclusions: Constipation status and laxative use are independently associated with higher risk of all-cause mortality and incident CHD and ischemic stroke.
3. Sleep duration predicts cardiovascular outcomes: a systematic review and meta-analysis of prospective studies
Francesco P Cappuccio, Daniel Cooper, Lanfranco D'Elia, Pasquale Strazzullo, Michelle A Miller Eur Heart J. 2011 Jun;32(12):1484-92. doi: 10.1093/eurheartj/ehr007. Epub 2011 Feb 7.
Aims To assess the relationship between duration of sleep and morbidity and mortality from coronary heart disease (CHD), stroke, and total cardiovascular disease (CVD). Methods and results We performed a systematic search of publications using MEDLINE (1966-2009), EMBASE (from 1980), the Cochrane Library, and manual searches without language restrictions. Studies were included if they were prospective, follow-up >3 years, had duration of sleep at baseline, and incident cases of CHD, stroke, or CVD. Relative risks (RR) and 95% confidence interval (CI) were pooled using a random-effect model. Overall, 15 studies (24 cohort samples) included 474 684 male and female participants (follow-up 6.9-25 years), and 16 067 events (4169 for CHD, 3478 for stroke, and 8420 for total CVD). Sleep duration was assessed by questionnaire and incident cases through certification and event registers. Short duration of sleep was associated with a greater risk of developing or dying of CHD (RR 1.48, 95% CI 1.22-1.80, P < 0.0001), stroke (1.15, 1.00-1.31, P = 0.047), but not total CVD (1.03, 0.93-1.15, P = 0.52) with no evidence of publication bias (P = 0.95, P = 0.30, and P = 0.46, respectively). Long duration of sleep was also associated with a greater risk of CHD (1.38, 1.15-1.66, P = 0.0005), stroke (1.65, 1.45-1.87, P < 0.0001), and total CVD (1.41, 1.19-1.68, P < 0.0001) with no evidence of publication bias (P = 0.92, P = 0.96, and P = 0.79, respectively). Conclusion Both short and long duration of sleep are predictors, or markers, of cardiovascular outcomes.
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