scholarly journals DRIED BLOOD/SERUM SPOT TOTAL CHOLESTEROL ESTIMATION AS AN ALTERNATIVE TO FRESH SERUM TOTAL CHOLESTEROL: AN ANSWER OR A QUESTION IN ITSELF?

2015 ◽  
Vol 4 (37) ◽  
pp. 6505-6511
Author(s):  
Pushpa Sarkar ◽  
Raghunath H ◽  
Nimisha V
1973 ◽  
Vol 19 (6) ◽  
pp. 608-610 ◽  
Author(s):  
A Venugopala Rao ◽  
S Ramakrishnan

Abstract In the classic Schoenheimer—Sperry method for estimating cholesterol [J. Biol. Chem. 106, 745 (1934)] it is selectively precipitated with digitonin, and interference by other substances is minimized. The standards used in the color development are pure cholesterol. We suggest that the standard cholesterol should also be converted to cholesterol digitonide and treated identically to the test samples. When this is done, the values for cholesterol in test samples are significantly higher, both for free and total cholesterol in blood serum and for total cholesterol in tissues. Moreover, recovery experiments showed that error is diminished. Values for serum total cholesterol obtained when cholesterol digitonide standards were used were closer to those obtained by the method of Abell et al. than when pure cholesterol standards were used.


2010 ◽  
Vol 8 (1) ◽  
pp. 119-123
Author(s):  
Tri Joko Raharjo ◽  
Ariyani Setyo Widhiyati ◽  
Endah Mulya Asih ◽  
Sumiaty Sumiaty ◽  
Raden Tambunan ◽  
...  

The role of phenolic compounds on antihypercholeserol activity of Virgin Coconut Oil (VCO) has been investigated. The in vivo studies ware carried out by treatment of two groups of Wistar white mouse (Ratus norvegicus) using high phenolic VCO and low phenolic VCO respectively, followed by analysis of lipid profile in blood and liver serum of the mouse. In addition a group of hypercholesterol mouse was treated with low phenolic VCO and the blood serum lipid profile was compared with untreated hypercholesterol mouse. The results show that phenolic compound play an important role on antihypercholesterol of VCO. Group of mouse treated with high phenolic VCO have better lipid profile (blood serum: total cholesterol: 70 mg/dL, triglyceride: 76 mg/dL, HDL: 20 mg/dL, LDL: 35 mg/dL; liver serum: total cholesterol:7 mg/dL, triglyceride: 19 mg/dL) compared with the group treated with low phenolic VCO (blood serum: total cholesterol: 82 mg/dL, triglyceride: 100 mg/dL, HDL: 21 mg/dL, LDL: 41 mg/dL; liver serum: total cholesterol: 9 mg/dL, triglyceride: 34 mg/dL). Hypercholesterol mouse tests shown that low phenolic VCO treatment result in decreasing of blood serum cholesterol level by 52.10% which was not significantly different compared to untreated mouses (decreasing of blood serum cholesterol level by 48.61%).   Keywords: antihypercholesterol, phenolic compound, VCO, in vivo


2020 ◽  
Vol 15 (7) ◽  
pp. 1934578X2093201
Author(s):  
Agustin Lugo-Radillo ◽  
Ivan Delgado-Enciso ◽  
Alejandrina Rodriguez-Hernandez ◽  
Elpidio Peña-Beltran ◽  
Rafael Martinez-Martinez ◽  
...  

Betanin is a phytocompound whose effect in steatohepatitis has not yet been tested. Betanin was extracted from the fruits of Hylocereus ocamponis, and its effects were evaluated in a mice model for non-alcoholic fatty liver disease. Six-week-old male BALB/c mice fed with a high-fat diet received 9.6 mg of betanin per day during 40 days. Body, liver, and epididymal fat pad weights and the levels of blood serum total cholesterol, triglycerides, high-density lipoproteins, alanine aminotransferase, blood nitrogen urea, creatinine, and total antioxidant capacity were measured. Hepatosteatosis and inflammatory infiltration were categorized, and the relative cell area of hepatocytes was determined. Betanin inhibited the inflammatory infiltration of the liver ( P = 4.000 × 10−6) and the necrosis of hepatocytes ( P = 9.634 × 10−7); it also produced a predominance of microvesicular steatosis ( P = 9.634 × 10−7), decreased epididymal fat pad weight ( P = 8.250 × 10−4), and increased blood serum total cholesterol ( P = 0.011). Betanin is a promising compound for fatty liver, steatohepatitis, and chronic liver disease.


1998 ◽  
Vol 37 (02) ◽  
pp. 130-133
Author(s):  
T. Kishimoto ◽  
Y. Iida ◽  
K. Yoshida ◽  
M. Miyakawa ◽  
H. Sugimori ◽  
...  

AbstractTo evaluate the risk factors for hypercholesterolemia, we examined 4,371 subjects (3,207 males and 1,164 females) who received medical checkups more than twice at an AMHTS in Tokyo during the period from 1976 through 1991; and whose serum total cholesterol was under 250 mg/dl. The mean follow-up duration was 6.6 years. A self-registering questionnaire was administered at the time of the health checkup. The endpoint of this study was the onset of hypercholesterolemia when the level of serum total cholesterol was 250 mg/dl and over. We compared two prognosis groups (normal and hypercholesterol) in terms of age, examination findings and lifestyle. After assessing each variable, we employed Cox's proportional hazards model analysis to determine the factors related to the occurrence of hypercholesterolemia. According to proportional hazards model analysis, total cholesterol, triglyceride and smoking at the beginning, and hypertension during the observation period were selected in males; and total cholesterol at the beginning and age were selected in females to determine the factors related to the occurrence of hypercholesterolemia.


1960 ◽  
Vol 1 (4) ◽  
pp. 349-351
Author(s):  
Ronald L. Searcy ◽  
Lois M. Bergquist ◽  
Ralph C. Jung

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
A Kristensen ◽  
V Rosberg ◽  
J Vishram-Nielsen ◽  
M Pareek ◽  
A Linneberg ◽  
...  

Abstract Background Body composition predicts cardiovascular outcomes, but it is uncertain whether anthropometric measures can replace the more expensive serum total cholesterol for cardiovascular risk stratification in low resource settings. Purpose The purpose of the study was to compare the additive prognostic ability of serum total cholesterol with that of body mass index (BMI), waist/hip ratio (WHR), and estimated fat mass (EFM, calculated using a validated prediction equation), individually and combined. Methods We used data from the MORGAM (MONICA, Risk, Genetics, Archiving, and Monograph) Prospective Cohort Project, an international pooling of cardiovascular cohorts, to determine the relationship between anthropometric measures, serum cholesterol, and cardiovascular events, using multivariable Cox proportional-hazards regression analysis. We further investigated the ability of these measures to enhance prognostication beyond a simpler prediction model, consisting of age, sex, smoking status, systolic blood pressures, and country, using comparison of area under the receiver operating characteristics curve (AUCROC) derived from binary logistic regression models. The primary endpoint was major adverse cardiovascular events (MACE), defined as a composite of death from coronary heart disease, myocardial infarction, or stroke. Results The study population consisted of 52,188 apparently healthy subjects (56.3% men) aged 47±12 years ranging from 20 to 84, derived from 37 European cohorts, with baseline between 1982–2002 all followed for 10 years during which MACE occurred in 2465 (4.7%) subjects. All anthropometric measures (BMI: hazard ratio (HR) 1.04 [95% confidence interval (CI): 1.03–1.05] per kg/m2; WHR: HR 7.5 [4.0–14.0] per unit; EFM: HR 1.02 [1.01–1.02] per kg) as well as serum total cholesterol (HR 1.20 [1.16–1.24] per mmol/l) were significantly associated with MACE (P<0.001 for all), independently of age, sex, smoking status, systolic blood pressures, and country. The addition of serum cholesterol significantly improved the predictive ability of the simple model (AUCROC 0.818 vs. 0.814, P<0.001), as did the combination of WHR, BMI, and EFM (AUCROC 0.817 vs. 0.814, P=0.004). When assessed individually, BMI (AUCROC 0.816 vs. 0.814, P=0.004) and WHR (AUCROC 0.815 vs. 0.814, P=0.02) improved model performance, while EFM narrowly missed significance (AUCROC 0.815 vs. 0.814, P=0.06). There was no significant difference in the predictive ability of a model including serum cholesterol versus that including all three anthropometric measures (AUCROC 0.818 vs. 0.817, P=0.13). The figure shows the pertinent areas under the ROC curve in predicting MACE. Conclusion In this large population-based cohort study, the addition of a combination of anthropometric measures, i.e. BMI, WHR, and EFM, raised the predictive ability of a simple prognostic model comparable to that obtained by the addition of serum total cholesterol. Figure 1 Funding Acknowledgement Type of funding source: None


2004 ◽  
Vol 68 (5) ◽  
pp. 405-409 ◽  
Author(s):  
Mikio Iwashita ◽  
Yasuyuki Matsushita ◽  
Jun Sasaki ◽  
Kikuo Arakawa ◽  
Suminori Kono ◽  
...  

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