CV-1

CV-1

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CV-1
Category Antibiotics
Catalog number BBF-03729
CAS 108351-34-4
Molecular Weight 222.20
Molecular Formula C7H14N2O6

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Description

CV-1 is an antibiotic produced by Streptomyces sp. CO-1. It has anti-Escherichia coli activity in combination with spiramycin, and its mechanism is to inhibit lipopolysaccharide synthesis.

Specification

Synonyms 1,2-Diamino-1,2-N,N'-carbonyl-1,2-dideoxyglucose hydrate
IUPAC Name 4-hydroxy-5-(1,2,3,4-tetrahydroxybutyl)imidazolidin-2-one
Canonical SMILES C(C(C(C(C1C(NC(=O)N1)O)O)O)O)O
InChI InChI=1S/C7H14N2O6/c10-1-2(11)4(12)5(13)3-6(14)9-7(15)8-3/h2-6,10-14H,1H2,(H2,8,9,15)
InChI Key NWQUMNKTNQQHPK-UHFFFAOYSA-N

Properties

Boiling Point 774.2±60.0°C at 760 mmHg
Melting Point 85-90°C
Density 1.7±0.1 g/cm3
Solubility Soluble in DMSO, Water

Reference Reading

1. Fluctuation of pre-hemodialysis serum sodium
Nestor Oliva-Damaso, Eduardo Baamonde-Laborda, Elena Oliva-Damaso, Juan Payan, Alberto Marañes, Nicanor Vega-Diaz, Jose Carlos Rodriguez-Perez Clin Nephrol. 2018 Dec;90(6):396-403. doi: 10.5414/CN109355.
Introduction: Low pre-hemodialysis (pre-HD) serum sodium or hyponatremia is associated with higher mortality. Pre-HD serum sodium can be more stable over time with low fluctuation compared to other serum parameters. Materials and methods: We examined variation of pre-HD serum sodium in 24 months and after this point examined all-cause mortality in a cohort of 261 patients followed-up for 48.8 (standard deviation (SD) = 19.1) months. 6,221 determinations of pre-HD serum sodium were made and corrected for glucose concentrations. Serum sodium was measured pre-HD monthly, and the variability was calculated using the coefficient of variation (CV). Results: The mean age was of 60 ± 14.1 years, 60.9% were men, 48% had diabetes mellitus, and diabetic nephropathy was the most frequent cause of end-stage renal disease. Median CV of sodium in 24 months was 1.7% with a mean of 1.78% (95% CI 1.73 - 1.83). Patients with CV > 1.7% had a higher mortality (53 patients a 36.8%) compared to CV < 1.7% (22 patients a 18.8%) (p = 0.002). In Kaplan-Meier analysis, patients with CV > 1.7% had significantly worse overall survival (log rank = 6.395, p = 0.011). We also stratified the sample in serum sodium tertiles (< 138 mEq/L; 138 - 140 mEq/L; > 140 mEq/L) and made a Kaplan-Meier analysis which showed persistent worse survival outcomes in patients with CV > 1.7% (log rank Mantel-Cox 7.64; p = 0.006). Cox regression multivariate model showed that CV of sodium was significantly associated with overall mortality after adjusting for confounder variables (hazard ratio 2.16, 95% CI 1.37 - 3.41; p = 0.001). Conclusion: Variation of pre-HD serum sodium in 2 years is less than a 2%. With the limitations of our study, a higher variability of pre-HD serum sodium in 2 years of treatment (CV > 1.7%) is associated with increased mortality. .
2. [Clinical observation of acupuncture at Huiyin (CV 1) for chronic severe functional constipation]
Li-Fang Jiang, Jie Wu, Qiang Fu, Li-Hong Jiang, Chen Chen, Dan Zhu, Yuan-Ming Zhong Zhongguo Zhen Jiu. 2023 Feb 12;43(2):128-32. doi: 10.13703/j.0255-2930.20220314-k0001.
Objective: To compare the effect of acupuncture at Huiyin (CV 1) and oral administration of western medication in treatment of chronic severe functional constipation (CSFC). Methods: A total of 64 patients with CSFC were randomly divided into an acupuncture group (32 cases, 5 cases dropped off) and a western medication group (32 cases, 4 cases dropped off). Both groups were given routine basic treatment. The acupuncture group was treated by directly puncture of 20-30 mm at Huiyin (CV 1), once a day for the first 4 weeks, 5 times a week, once every other day for the next 4 weeks, 3 times a week, totally for 8 weeks. The western medication group was treated with 2 mg prucalopride succinate tablets orally before breakfast every day for 8 weeks. The average number of weekly spontaneous bowel movement (SBM) of the two groups were observed before treatment and 1-8 weeks into treatment. The constipation symptom score before and after treatment, and in follow-up of 1 month after treatment, as well as quality of life [patient assessment of constipation quality of life questionnaire (PAC-QOL) score and the proportion of patients of PAC-QOL score difference before and after treatment≥1] before and after treatment were compared in the two groups. The clinical effects of the two groups were evaluated after treatment and in follow-up. Results: Compared before treatment, the average number of weekly SBM in the two groups was increased 1-8 weeks into treatment (P<0.05). The average number of weekly SBM in the acupuncture group was less than that in the western medication group 1 week into treatment (P<0.05), and the average number of weekly SBM in the observation group was more than that in the western medication group 4-8 weeks into treatment (P<0.05). The scores of constipation symptom after treatment and in follow-up and scores of PAC-QOL after-treatment in the two groups were lower than those before treatment (P<0.05), and those in the acupuncture group were lower than the western medication group (P<0.05). The proportion of patients of PAC-QOL score difference before and after treatment≥1 in the acupuncture group was higher than that in the west medication group (P<0.05). The total effective rates after treatment and in follow-up in the acupuncture group were 81.5% (22/27) and 78.3% (18/23), respectively, which were better than 42.9% (12/28) and 43.5% (10/23) in the western medication group (P<0.05). Conclusion: Acupuncture at Huiyin (CV 1) can effectively increase the number of spontaneous defecation in patients with CSFC, reduce constipation symptoms, improve the quality of life, and the effect after treatment and in follow-up is better than oral western medication.
3. Lipid Variability and Risk of Cardiovascular Diseases and All-Cause Mortality: A Systematic Review and Meta-Analysis of Cohort Studies
Shuting Li, Leying Hou, Siyu Zhu, Qian Yi, Wen Liu, Yang Zhao, Feitong Wu, Xue Li, An Pan, Peige Song Nutrients. 2022 Jun 13;14(12):2450. doi: 10.3390/nu14122450.
No consensus has yet been reached on the associations of lipid variability (LV) with cardiovascular diseases (CVDs) and all-cause mortality. We aimed to quantify the associations of different types and metrics of LV with CVDs and all-cause mortality. PubMed, Medline, and Embase databases were searched for eligible cohort studies published until 14 December 2021. Lipids included total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglycerides (TG). Metrics of variability included standard deviation (SD), coefficient of variation (CV), and variation independent of the mean (VIM). The primary outcomes were CVDs and all-cause mortality. Random-effects meta-analysis was used to generate a summary of the relative risks (SRRs). Sources of heterogeneity were explored by subgroup analysis and meta-regression. A total of 11 articles based on seven cohorts were included. Participants in the top quartile of TC variability had an increased risk of CVDs (vs. bottom quartile: TC-CV: SRR 1.29, 95% CI 1.15-1.45; TC-SD: 1.28, 1.15-1.43; TC-VIM: 1.26, 1.13-1.41, respectively) and all-cause mortality (vs. bottom quartile: TC-CV: 1.28, 1.15-1.42; TC-SD: 1.32, 1.22-1.44; TC-VIM: 1.32, 1.25-1.40, respectively). Participants in the top quartile of HDL-C variability had an increased risk of CVDs (vs. bottom quartile: HDL-C-CV: 1.11, 1.07-1.15; HDL-C-SD: 1.18, 1.02-1.38; HDL-C-VIM: 1.18, 1.09-1.27, respectively) and all-cause mortality (vs. bottom quartile: HDL-C-CV: 1.29, 1.27-1.31; HDL-C-SD: 1.24, 1.09-1.41; HDL-C-VIM: 1.25, 1.22-1.27, respectively). LDL-C variability was also associated with an increased risk of CVDs (for top vs. bottom quartile; LDL-C-SD: 1.09, 1.02-1.17; LDL-C-VIM: 1.16, 1.02-1.32, respectively) and all-cause mortality (for top vs. bottom quartile; LDL-C-CV: 1.19, 1.04-1.36; LDL-C-SD: 1.17, 1.09-1.26, respectively). The relationships of TG variability with the risk of CVDs and all-cause mortality were inconclusive across different metrics. The effects of SRR became stronger when analyses were restricted to studies that adjusted for lipid-lowering medication and unadjusted for mean lipid levels. These findings indicate that the measurement and surveillance of lipid variability might have important clinical implications for risk assessment of CVDs and all-cause mortality.

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