18:1 PA (sodium salt)
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18:1 PA (sodium salt)

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DOPA (1,2-dioleoyl-sn-glycero-3-phosphate) is an anionic lipid.

Category
Peptide Synthesis Reagents
Catalog number
BAT-006380
CAS number
108392-02-5
Molecular Formula
C39H73NaO8P
Molecular Weight
723.95
18:1 PA (sodium salt)
IUPAC Name
sodium;[(2R)-2,3-bis[[(Z)-octadec-9-enoyl]oxy]propyl] hydrogen phosphate
Synonyms
1,2-dioleoyl-sn-glycero-3-phosphatidic acid (sodium salt); DOPA-Na; 1,2-Dioleoyl-sn-glycero-3-PA
Appearance
Solid
Purity
98%
Storage
-20°C
Solubility
Chloroform: 20 mg/ml.
Application
DOPA may be used as a component in liposomes/lipid bilayers, and an activator of multiple PKC isotypes.
InChI
InChI=1S/C39H73O8P.Na/c1-3-5-7-9-11-13-15-17-19-21-23-25-27-29-31-33-38(40)45-35-37(36-46-48(42,43)44)47-39(41)34-32-30-28-26-24-22-20-18-16-14-12-10-8-6-4-2;/h17-20,37H,3-16,21-36H2,1-2H3,(H2,42,43,44);/b19-17-,20-18-;/t37-;/m1./s1
InChI Key
KHDHADSEKGCPKW-ZBFGHDQJSA-N
Canonical SMILES
[Na].O=C(OCC(OC(=O)CCCCCCCC=CCCCCCCCC)COP(=O)(O)O)CCCCCCCC=CCCCCCCCC
1. Sodium chloride inhibits IFN-γ, but not IL-4, production by invariant NKT cells
Doo Hyun Chung,Dongjin Jeong,Hye Young Kim J Leukoc Biol . 2018 Jan;103(1):99-106. doi: 10.1002/JLB.3A0217-076R.
Invariant NKT (iNKT) cells are a distinct subset of T cells that exert Janus-like functions in vivo by producing IFN-γ and IL-4. Sodium chloride modulates the functions of various immune cells, including conventional CD4+T cells and macrophages. However, it is not known whether sodium chloride affects iNKT cell function, so we addressed this issue. Sodium chloride inhibited IFN-γ, but not IL-4, production by iNKT cells upon TCR or TCR-independent (IL-12 and IL-18) stimulation in a dose-dependent manner. Consistently, sodium chloride reduced the expression level of tbx21, but not gata-3, in iNKT cells stimulated with TCR engagement or IL-12 + IL-18. Sodium chloride increased phosphorylated p38 expression in iNKT cells and inhibitors of p38, NFAT5, SGK1, and TCF-1 restored IFN-γ production by iNKT cells stimulated with sodium chloride and TCR engagement. Furthermore, adoptive transfer of iNKT cells pretreated with sodium chloride restored antibody-induced joint inflammation to a lesser extent than for untreated iNKT cells in Jα18 knockout mice. These findings suggest that sodium chloride inhibits IFN-γ production by iNKT cells in TCR-dependent and TCR-independent manners, which is dependent on p38, NFAT5, SGK1, and TCF-1. These findings highlight the functional role of sodium chloride in iNKT cell-mediated inflammatory diseases.
2. Biomarkers for Chronic Kidney Disease Associated with High Salt Intake
Keiko Hosohata Int J Mol Sci . 2017 Sep 30;18(10):2080. doi: 10.3390/ijms18102080.
High salt intake has been related to the development to chronic kidney disease (CKD) as well as hypertension. In its early stages, symptoms of CKD are usually not apparent, especially those that are induced in a "silent" manner in normotensive individuals, thereby providing a need for some kind of urinary biomarker to detect injury at an early stage. Because traditional renal biomarkers such as serum creatinine are insensitive, it is difficult to detect kidney injury induced by a high-salt diet, especially in normotensive individuals. Recently, several new biomarkers for damage of renal tubular epithelia such as neutrophil gelatinase-associated lipocalin (NGAL) and kidney injury molecule-1 (Kim-1) have been identified. Previously, we found a novel renal biomarker, urinary vanin-1, in several animal models with renal tubular injury. However, there are few studies about early biomarkers of the progression to CKD associated with a high-salt diet. This review presents some new insights about these novel biomarkers for CKD in normotensives and hypertensives under a high salt intake. Interestingly, our recent reports using spontaneously hypertensive rats (SHR) and normotensive Wistar Kyoto rats (WKY) fed a high-salt diet revealed that urinary vanin-1 and NGAL are earlier biomarkers of renal tubular damage in SHR and WKY, whereas urinary Kim-1 is only useful as a biomarker of salt-induced renal injury in SHR. Clinical studies will be needed to clarify these findings.
3. Measured sodium excretion is associated with CKD progression: results from the KNOW-CKD study
Hyunjin Ryu,Su Ah Sung,Curie Ahn,Sue K Park,Eunjeong Kang,Jayoun Kim,Yeji Hong,Young Youl Hyun,Minjung Kang,Tae-Hyun Yoo,Kook-Hwan Oh,Soo Wan Kim,Seung Seok Han Nephrol Dial Transplant . 2021 Feb 20;36(3):512-519. doi: 10.1093/ndt/gfaa107.
Background:Diet is a modifiable factor of chronic kidney disease (CKD) progression. However, the effect of dietary salt intake on CKD progression remains unclear. Therefore, we analyzed the effect of dietary salt intake on renal outcome in Korean patients with CKD.Methods:We measured 24-h urinary sodium (Na) excretion as a marker of dietary salt intake in the prospective, multi-center, longitudinal KoreaN cohort study for Outcome in patients With CKD (KNOW-CKD). Data were analyzed from CKD patients at Stages G3a to G5 (n = 1254). We investigated the association between dietary salt intake and CKD progression. Patients were divided into four quartiles of dietary salt intake, which was assessed using measured 24-h urinary Na excretion. The study endpoint was composite renal outcome, which was defined as either halving the estimated glomerular filtration rate or developing end-stage renal disease.Results:During a median (interquartile range) follow-up of 4.3 (2.8-5.8) years, 480 (38.7%) patients developed the composite renal event. Compared with the reference group (Q2, urinary Na excretion: 104.2 ≤ Na excretion < 145.1 mEq/day), the highest quartile of measured 24-h urinary Na excretion was associated with risk of composite renal outcome [Q4, urinary Na excretion ≥192.9 mEq/day, hazard ratio 1.8 (95% confidence interval 1.12-2.88); P = 0.015] in a multivariable hazards model. Subgroup analyses showed that high-salt intake was particularly associated with a higher risk of composite renal outcome in women, in patients <60 years of age, in those with uncontrolled hypertension and in those with obesity.Conclusions:High salt intake was associated with increased risk of progression in CKD.
4. Machine Learning Consensus Clustering of Hospitalized Patients with Admission Hyponatremia
Pattharawin Pattharanitima,Pradeep K Vaitla,Tananchai Petnak,Andrea G Kattah,John J Dillon,Wisit Cheungpasitporn,Mira T Keddis,Charat Thongprayoon,Saraschandra Vallabhajosyula,Stephen B Erickson,Vesna D Garovic,Panupong Hansrivijit,Michael A Mao,Voravech Nissaisorakarn Diseases . 2021 Aug 1;9(3):54. doi: 10.3390/diseases9030054.
Background:The objective of this study was to characterize patients with hyponatremia at hospital admission into clusters using an unsupervised machine learning approach, and to evaluate the short- and long-term mortality risk among these distinct clusters.Methods:We performed consensus cluster analysis based on demographic information, principal diagnoses, comorbidities, and laboratory data among 11,099 hospitalized adult hyponatremia patients with an admission serum sodium below 135 mEq/L. The standardized mean difference was utilized to identify each cluster's key features. We assessed the association of each hyponatremia cluster with hospital and one-year mortality using logistic and Cox proportional hazard analysis, respectively.Results:There were three distinct clusters of hyponatremia patients: 2033 (18%) in cluster 1, 3064 (28%) in cluster 2, and 6002 (54%) in cluster 3. Among these three distinct clusters, clusters 3 patients were the youngest, had lowest comorbidity burden, and highest kidney function. Cluster 1 patients were more likely to be admitted for genitourinary disease, and have diabetes and end-stage kidney disease. Cluster 1 patients had the lowest kidney function, serum bicarbonate, and hemoglobin, but highest serum potassium and prevalence of acute kidney injury. In contrast, cluster 2 patients were the oldest and were more likely to be admitted for respiratory disease, have coronary artery disease, congestive heart failure, stroke, and chronic obstructive pulmonary disease. Cluster 2 patients had lowest serum sodium and serum chloride, but highest serum bicarbonate. Cluster 1 patients had the highest hospital mortality and one-year mortality, followed by cluster 2 and cluster 3, respectively.Conclusion:We identified three clinically distinct phenotypes with differing mortality risks in a heterogeneous cohort of hospitalized hyponatremic patients using an unsupervised machine learning approach.
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