Impact Factor 3.552

The 2nd most cited open-access journal in Clinical Neurology

Original Research ARTICLE

Front. Neurol., 10 July 2013 | https://doi.org/10.3389/fneur.2013.00092

Fasting versus post-challenge triglycerides and pre-existing cavitating lacunes: a Berlin “Cream & Sugar” substudy

  • 1Center for Stroke Research Berlin (CSB), Charité – Universitätsmedizin, Berlin, Germany
  • 2International Graduate Program Medical Neurosciences, Charité – Universitätsmedizin, Berlin, Germany
  • 3Klinik und Hochschulambulanz für Neurologie, Charité – Universitätsmedizin, Berlin, Germany
  • 4Excellence Cluster NeuroCure, Berlin, Germany
  • 5German Center for Cardiovascular Research (DZHK), Charité – Universitätsmedizin, Berlin, Germany

Background and Purpose: Although the presence of cavitating lacunes on brain imaging may have prognostic implications, the modifiable risk factors underlying these frequently observed lesions are not completely understood. We sought to determine if fasting and post-challenge triglycerides associate with cavitating lacunes.

Methods: All first ischemic stroke patients who completed a novel combined oral triglyceride and glucose tolerance test and MRI between January 2009 and June 2012 were included. Fluid-attenuated inversion recovery or T2 MRI sequences were used to visualize cavitating lacunes and white matter hyperintensities, which were graded using the Wahlund visual scale.

Results: One hundred and ninety patients were included (median age 66, IQR 52–73; 33% female; median National Institute of Health Stroke Scale 2, IQR 1–4). A forward stepwise binary logistical regression analysis applying the Hosmer–Lemeshow goodness of fit test adjusted for parameters significant in univariate analyses (at the p < 0.10 level) revealed that Wahlund scores (Wahlund 0–4: reference; Wahlund 5–10: adjusted odds ratio, 5.1; 95% confidence interval, 1.3–20.0, p = 0.019; Wahlund>10: adjusted odds ratio 9.6; 95% CI, 1.55–59.35; p = 0.015) and the highest quartile of post-challenge triglycerides (>295 mg/dL; adjusted odds ratio, 7.36; 95% confidence interval 1.24–43.70; p = 0.028) independently associated with the presence of cavitating lacunes.

Conclusion: Post-challenge serum triglycerides are independently associated with the presence of cavitating lacunes.

Introduction

Although cavitating lacunes (small, deep 3–20 mm cerebrospinal fluid containing “holes”) (1) often appear “silently” (without stroke-like symptoms) on brain imaging (2), their presence is thought to more than double the risk of stroke and dementia (3). Age and hypertension are two established risk factors for cavitating lacunes (2 4), but evidence suggests that elevated serum triglycerides may also be a key factor in cavitating lacune development and progression (2).

Postmortem findings support the hypothesis that triglycerides play a role in cavitating lacunes. First, histopathology studies have identified fat-laden macrophages surrounding the small vessels in areas of cavitating lacunes (5) similar to that of the lipid-laden monocytes observed in the “fatty streak” of muscular arteries affected by atherosclerosis (6). It has been proposed that prolonged exposure to elevated triglycerides alters endothelial metabolism and expression of binding molecules thereby predisposing for monocyte aggregation and forming the nidus of a “fatty streak” (7). Second, studies have determined that vessels supplying cavitating lacunes are frequently affected by “lipohyalinosis” (fatty hyaline build-up within the vessel wall), a specific subgroup of the broader “small vessel disease” term (8).

Elevated triglycerides have long been suspected of being a modifiable cerebrovascular risk factor (9 11), however findings from studies that have measured fasting triglycerides have yielded conflicting results (12). Traditionally measured in the fasting state to avoid variability, more recent findings from large epidemiological studies (with over 10,000 participants) indicate that post-fat challenge triglyceride levels may be a more reliable indicator of cardiovascular and in particular ischemic stroke risk than fasting levels (10, 11). This has led to the recommendation of possibly introducing a standardized oral triglyceride tolerance test to clinical practice (13).

We therefore sought to determine if an association exists between fasting and post-challenge triglyceride levels and cavitating lacunes.

Materials and Methods

Participants

The Berlin “Cream & Sugar” Study (NCT 01378468) is an ongoing prospective cohort study that aims to assess the prognostic impact of post-challenge triglyceride and glucose levels in ischemic stroke patients. Detailed methods and inclusion/exclusion criteria are presented elsewhere (14). Briefly, we screened all male and female first-time acute ischemic stroke patients (3–7 days after symptom onset) over 18 years of age, who were admitted to one of three university campus hospitals in Berlin. Ischemic stroke was defined as a focal neurological deficit lasting for at least 24 h with no signs of hemorrhage on cerebral imaging. First ever ischemic stroke was defined here using relevant medical history and disregarded potential “silent” strokes on cerebral imaging that may have occurred prior to study enrollment. All suspected ischemic strokes were verified radiologically using diffusion-weighted images (DWI). Stoke was categorized according to a mechanism-based classification scheme (Trial of ORG 10172 in Acute Stroke Treatment, or TOAST) (15). All patients provided informed consent and the study was approved by the local ethics committee.

Stroke severity was assessed 3–7 days after first ischemic stroke using the National Institute of Health Stroke Scale (NIHSS).

Oral Triglyceride Tolerance Test

Fasting blood samples were drawn at 8 a.m. Directly thereafter, patients drank 250 mL of 32% fat cream within 30 min in the presence of a Center for Stroke Research Berlin staff member to ensure that the cream was ingested. Three hours later (11 a.m.), a second blood draw was performed and was immediately followed by a standard 75 g oral glucose tolerance test. Subsequent blood draws were then performed at 12 p.m. and 1 p.m.

Blood Samples

Baseline data and venous blood samples were collected after participants had provided informed consent and fasted overnight for ≥12 h. Fasting blood samples were drawn at 8 a.m. Triglyceride and cholesterol concentrations were determined in freshly drawn venous blood samples enzymatically using a Cobas 6000 analyzer (Roche/Hitachi). Glomerular filtration rate (GFR) was estimated using the Modification of Diet in Renal Disease (MDRD) (16) formula according to relationship 186 × serum creatinine−1.154 × age−0.203 × 1.210 (if Black) × 0.742 (if female). Diabetes was defined as current use of antidiabetic medication, serum glycosylated hemoglobin (HbA1C) of>6.5% or 2 h oral glucose tolerance test value of>200 mg/dL. Hypertension was defined as current antihypertensive medication use. Hyperlipidemia was defined as fasting total cholesterol ≥200 mg/dL and/or fasting triglycerides ≥150 mg/dL and/or use of lipid lowering medications prior to ischemic stroke (17).

Image Acquisition, Cavitating Lacunes, and WMH Severity

MRI was performed using both 3 T (Tim Trio; Siemens AG, Erlangen, Germany) and 1.5 T (Avanto, Siemens Medical Solutions, Erlangen, Germany) scanners. Patients who were admitted to one of three university campus hospitals underwent “Fast Track” Stroke MRI that consisted of DWI, T1, T2, and either FLAIR or T2 weighted images (depending on the campus hospital). FLAIR or T2 weighted images were used to assess cavitating lacunes and white matter hyperintensity (WMH) severity. Because different campus hospitals utilized different MRI scanners (3 and 1.5 T), sensitivity of MRI field strength to detect lacunes and WMH was tested using Fischer’s exact (lacune presence) and Mann–Whitney U tests (non-stratified Wahlund scores).

White matter hyperintensity were scored according to the Age-Related White Matter Change (18) and Fazekas (19) visual classification systems (Figure 1). In the Wahlund classification system, FLAIR and T2 image hyperintensities are rated from 0 to 3 based on size and confluence of the lesions on both the right and left sides of the brain in the following pre-specified regions: frontal, parieto-occipital, temporal, infratentorial/cerebellum, and basal ganglia. The final score is the sum of all regions and ranges from 0 (no WMH) to 30 (most severe WMH). In the Fazekas classification system, the image with the most severe WMH is rated on a scale of 0 to 3 [0, no WMH; 1, punctate foci; 2, beginnings of confluent foci; 3 large confluent areas; (19)].

FIGURE 1
www.frontiersin.org

Figure 1. Fluid attenuated inversion recovery (FLAIR) MRI sequences of (A) a 21 year old patient with an overall Wahlund score of 0, (B) a 51 year old patient with an overall Wahlund score of 8, (C) a 69 year old patient with a Wahlund score of 20, (D) a 75 year old man with an overall Wahlund score of 12 and a 4 mm cavitating lacune in the left parietal lobe, (E) a 63 year old man with an overall Wahlund score of 5 and a 5.5 mm cavitating lacune in the right occipito-temporal region, (F) a 70 year old man with an overall Wahlund score of 20 and an 4 mm cavitating lacune in the left pareito-temporal region.

Cavitating lacunes were defined as small (3–20 mm in all directions) hypointense lesions on FLAIR and hyperintense lesions on T2 weighted images with a corresponding low intensity area on T1 weighted images (Figure 1) (1, 20). Cavitating lacunes were identified as ovoid/spheroid shaped areas with similar signal intensity to that of cerebrospinal fluid generally (on FLAIR images) surrounded by a hyperintense rim (2). Because Virchow–Robin spaces also have similar signal intensity to cerebrospinal fluid, we differentiated cavitating lacunes from Virchow–Robin spaces based on size [cavitating lacunes: 3–20 mm; Virchow–Robin spaces smaller than 3 mm and generally following a vessel; (2)]. We recorded both presence of cavitating lacunes (present versus not present) and the number of cavitating lacunes observed in each patient.

Statistical Analysis

Continuous variables were tested for normal distribution using the Kolmogorov–Smirnov test. Mann–Whitney U tests were used to examine relationships between baseline and serum parameters (not normally distributed) and lacunes (present or not present). The relationship between categorical variables (gender, hypertension, smoking history, and diabetes mellitus), lacunes, and WMH severity was assessed using two-sided Fisher’s exact tests. If a significant relationship was found, post hoc analyses using Sidak’s method were performed (level of significance at 0.017). To estimate odds ratios in the categorical analysis, Wahlund scores were stratified into 3 groups: mild (Wahlund score of 0–4), moderate (Wahlund: 5–10), and severe (Wahlund:>10), as this classification (21, 22) and very similar stratification schemes have been used previously (23, 24) and seem to correspond well with standard visual classification systems (23). Spearman’s correlation coefficients were calculated to assess relationships between number of lacunes and baseline/serum parameters.

We performed a forward stepwise binary logistical regression analysis using the Hosmer–Lemeshow goodness of fit test. This analysis included all parameters associated with cavitating lacunes (at the p < 0.10 level) from univariate analyses and the dichotomized categorical variable cavitating lacunes (present versus not present). Serum glucose, glycosylated hemoglobin, creatinine, C-reactive protein, waist circumference, waist-to-hip ratio, and systolic blood pressure were not normally distributed and were stratified into quartiles. Age was categorized by decades starting at age 18 years and ending at age 101 years to incorporate all patients enrolled in our study. All statistical analyses were performed using SPSS 19.

Results

We enrolled 211 patients in the Berlin “Cream & Sugar” study between January 2009 and June 2012. Of those, 190 patients (median age 66, IQR 52–73; 33% female; median NIHSS 2, IQR 1–4) had both MRI (148 FLAIR, 42 T2) and serum parameters available. All strokes were confirmed on MRI.

Results from univariate analyses and patient demographics for cavitating lacunes are presented in Table 1. Patients who had more cavitating lacunes were older (Spearman’s rho = 0.118, p = 0.042), more likely to have higher post-challenge glucose levels (Spearman’s rho = 0.121, p = 0.050), and had higher Wahlund (Spearman’s rho = 0.305, p < 0.01) and Fazekas scores (Fischer’s exact, p < 0.01). Post hoc testing revealed that patients with Fazekas scores of 2 and 3 had significantly more lacunes than patients with Fazekas scores of 1 (Fazekas 2: p = 0.031, 95% confidence interval 0.15–0.40; Fazekas 3: p < 0.01, 95% confidence interval 0.15–0.68). Although the associations did not reach significance, patients with more cavitating lacunes tended to have higher glycosylated hemoglobin (HbA1c, Spearman’s rho = 0.117, p = 0.054). In patients with HbA1c values<6.5%, elevated absolute 5 h post-challenge triglycerides significantly associated with lacune presence (p = 0.006) and number of lacunes (p = 0.019). Moreover, in patients with HbA1c values<6.5%, higher triglyceride area under the curve significantly associated with lacune presence (p = 0.032). Number of lacunes, however, was not significantly associated with triglyceride area under the curve in these patients (p = 0.134).

TABLE 1
www.frontiersin.org

Table 1. Demographic characteristics according to presence of cavitating lacunes.

Presence and number of lacunes and WMH did not significantly differ in patients rated with FLAIR versus T2 images (Fischer’s exact test: lacune presence, p = 0.66; number of lacunes, p = 0.68; WMH, p = 0.39). Comparisons across patients according to MRI strength (3 versus 1.5 T) revealed that those patients who received 3 T MRI scans (N = 95) were rated as having significantly more WMH than those scanned with a 1.5 T MRI (N = 94; p < 0.01). Dichotomized presence (present versus not present) and absolute number of cavitating lacunes did not differ according to MRI field strength (Exact Mann–Whitney U, cavitating lacune presence, p = 0.89; Exact Mann–Whitney U, number of cavitating lacunes, p = 0.589).

A forward stepwise binary logistical regression using the Hosmer–Lemeshow goodness of fit test that was adjusted for age (decades), NIHSS scores, fasting and post-challenge triglycerides and glucose, glycosylated hemoglobin, waist-to-hip ratio, and WML (Wahlund and Fazekas scores) revealed that WML (both Wahlund and Fazekas) scores and the highest quartile of post-challenge triglycerides independently associated with presence of cavitating lacunes (Table 2).

TABLE 2
www.frontiersin.org

Table 2. Results from forward stepwise binary logistical regression analysis assessing risk factors for cavitating lacunes.

Discussion

The primary findings of this study were that elevated post-challenge serum triglycerides (>3.33 mmol/L) and WMH severity independently associated with cavitating lacunes. To our knowledge, this is the first study that has assessed the relationship between fasting and post-challenge serum triglycerides and pre-existing cavitating lacunes in acute ischemic stroke patients. Previous studies have found a relationship between non-fasting triglycerides and risk of ischemic stroke and heart disease (10, 11, 25). Our findings are similar in that post-challenge triglycerides independently associated with the presence of cavitating lacunes but fasting triglycerides did not.

Triglyceride concentrations rose markedly in all patients following the fat challenge. Interestingly, all patients showed very similar increases in triglyceride concentrations following the challenge until the 5 h post-challenge time-point, an occurrence that others have also observed (26). Groot et al. (26) measured triglyceride concentrations for 24 h following an oral fat challenge and noted that elevated triglycerides measured at the 8 h time-point or later were indicative of increased common carotid artery intima-media thickness. Though not statistically significant in their study (26), graphical representation showed that triglyceride levels began to diverge between those patients with and without carotid artery atherosclerosis at the 5 h time-point. Though our study was a relatively small retrospective sub-analysis, these findings could suggest that time to triglyceride “clearance” may play a role in cerebrovascular risk and that blood draws between 5 and 8 h post-challenge may be optimal for triglyceride analysis. Additionally, results from our univariate analysis indicate that a triglyceride tolerance test may be of particular benefit for the assessment of vascular risk in patients without diabetes mellitus. Further testing is needed to verify these finding.

Pathophysiologically, “silent” cavitating lacunes are thought to arise from deep cortical ischemia (5, 27, 28). A recent literature review concluded that the risk of ischemic stroke onset nearly doubles if cavitating lacunes are present on MRI (3). We found that post-challenge triglycerides associated with cavitating lacunes and others have identified a strong independent association between non-fasting triglycerides and ischemic stroke risk (10, 11). Taken together, it is possible that cavitating lacunes mark high stroke risk patients who may be identifiable in a cost-effective manner by measuring non-fasting triglycerides and even possibly benefited by triglyceride lowering strategies (life style modification or medication).

Our results conflict with those of Gouw et al. (2), who assessed possible risk factors for lacune progression (in 396 patients) and found that elevated fasting triglycerides and body mass index (BMI) were associated with the appearance of new cavitating lacunes. We found that obesity indices (BMI and waist-to-hip ratio) associated with WMH and both fasting and non-fasting triglycerides (data not shown) but, unlike Gouw et al. obesity indices did not correspond with the presence of cavitating lacunes. We expected obesity indices to associate with cavitating lacunes, as cavitating lacunes associated with non-fasting triglycerides and WMH. However, it is likely that our study was underpowered to detect these relationships, as there were only 34 participants with cavitating lacunes.

We focused on cavitating lacunes (as opposed to non-cavitating lacunes or a combination of the two) for the sake of simplicity as there is currently much debate regarding terminology. Because it remains unclear which lacunes will cavitate and which will not (or perhaps all cavitate after a certain time), the recommendation has been put forth to independently examine cavitating lacunes and WMH (which might be an early form of lacune that has not yet cavitated or something else altogether) and their respective risk factors (29). Our results show that WMH severity independently associates with the presence of cavitating lacunes, thus lending credence to the argument that though the exact etiologies of WMH and cavitating lacunes may differ, it is difficult to disaggregate the two (29). Moreover, this association may support the hypothesis that cavitating lacunes are simply a more pronounced form of WMH (29).

A distinction has been made between: (1) single, larger, symptomatic lacunar infarcts of microatheromatous origin and (2) small, multiple, typically asymptomatic lacunar infarcts (generally accompanying WMH) possibly of arteriolosclerosis origin (30). None of our patients reported “stroke-like symptoms” before the event leading to hospital admission and cerebral imaging was performed in the acute stroke setting. Because cavitation seems to occur slowly – taking well over a month post-insult for complete cavitation to occur in most cases (31) – and WMH associated with presence of lacunes so strongly, we believe the cavitating lacunes present in our patient sample likely arose from arteriolosclerotic (small vessel disease) origin rather than microatheromatous origin.

Our study has limitations. First, because this was a Berlin “Cream & Sugar” substudy, there was a selection bias toward mildly affected stroke patients (median NIHSS at hospital admission 2, range 0–24; median NIHSS at time of fat challenge 1, range 0–14). This resulted from the Berlin “Cream & Sugar” study’s relatively stringent inclusion criteria, as only those patients who: (1) were deemed capable of completing and tolerating a novel combined oral triglyceride/glucose tolerance test (i.e., patients without swallowing disorders, lactose intolerance, malabsorption, etc.) and (2) who did not have pre-existing conditions that could potentially influence lipid metabolism (liver disease, alcoholism, pancreatic disease, etc.) were selected. Second, the cohort was comprised primarily of older patients (median 66 years), which has been well established to associate with cavitating lacunes (3) and increased WMH severity (18). Third, women were underrepresented (33%). We therefore recommend a cautious interpretation of the observed trend across gender (Table 1) and lacune presence. Fourth, because we pooled patients that were admitted to various hospitals and scanned with different MRI field strengths (3 and 1.5 T), it is possible that lacunes and WMH were underreported. However, results from the logistical regression analysis did not change after we retrospectively controlled for MRI field strength. Finally, our cohort was relatively small (190 patients). We decided to use a forward stepwise algorithm for data analysis to minimize possible complications arising from low covariate incidence rates. However, larger studies are needed to assess the validity of our findings.

In conclusion, we assessed fasting and post-challenge triglyceride levels in acute ischemic stroke patients with and without pre-existing cavitating lacunes and found that elevated post-challenge triglycerides were associated with the presence of cavitating lacunes. Patients with elevated non-fasting triglycerides may be at a higher risk for cerebral ischemia and therefore benefit from triglyceride lowering strategies (life style modification or medication).

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

Jochen B. Fiebach has received consultant or lecture fees from Boehringer Ingelheim, Lundbeck, Siemens, Sygnis, and Synarc. Matthias Endres has received grant support from AstraZeneca and Sanofi, has participated in advisory board meetings of Bayer, Boehringer Ingelheim, Bristol-Myers Squibb, MSD, Pfizer, Sanofi and has received honoraria from Astra Zeneca, Bayer, Berlin Chemie, Bristol-Myers Squibb, Boehringer Ingelheim, Desitin, Eisei, Ever, Glaxo Smith Kline, MSD, Novartis, Pfizer, Sanofi, Takeda, Trommsdorff. The research leading to these results has received funding from the Federal Ministry of Education and Research via the grant Center for Stroke Research Berlin (01 E0 0801), from the Volkswagen Foundation (Lichtenberg program to Matthias Endres), the German Center for Cardiovascular Research (DZHK) Charité (to Matthias Endres), the DFG (NeuroCure), and EU (European Stroke Network).

References

1. Potter GM, Doubal FN, Jackson CA, Chappell FM, Sudlow CL, Dennis MS, et al. Counting cavitating lacunes underestimates the burden of lacunar infarction. Stroke (2010) 41:267–72. doi:10.1161/STROKEAHA.109.566307

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

2. Gouw A, Van der Flier WM, Fazekas F, Van Straaten ECW, Pantoni L, Poggesi A, et al. Progression of white matter hyperintensities and incidence of new lacunes over a 3-year period: the Leukoaraiosis and disability study. Stroke (2008) 39:1414–20. doi:10.1161/STROKEAHA.107.498535

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

3. Vermeer SE, Longstreth WT, Koudstaal PJ. Silent brain infarcts: a systematic review. Lancet Neurol (2007) 6:611–9. doi:10.1016/S1474-4422(07)70170-9

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

4. Bamford J, Sandercock P, Jones L, Warlow C. The natural history of lacunar infarction: the Oxfordshire community stroke project. Stroke (1987) 18:545–51. doi:10.1161/01.STR.18.3.545

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

5. Fisher CM. Lacunes: small, deep cerebral infarcts. Neurology (1998) 50:841–841. doi:10.1212/WNL.50.4.841-a

CrossRef Full Text

6. Ross R. Atherosclerosis – an inflammatory disease. N Engl J Med (1999) 340:115–26. doi:10.1056/NEJM199901143400207

CrossRef Full Text

7. Wilhelm MG, Cooper AD. Induction of atherosclerosis by human chylomicron remnants: a hypothesis. J Atheroscler Thromb (2003) 10:132–9. doi:10.5551/jat.10.132

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

8. Grinberg LT, Thal DR. Vascular pathology in the aged human brain. Acta Neuropathol (2010) 119:277–90. doi:10.1007/s00401-010-0652-7

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

9. Albrink MJ, Man EB. Serum triglycerides in coronary artery disease. AMA Arch Intern Med (1959) 103:4–8. doi:10.1001/archinte.1959.00270010010002

CrossRef Full Text

10. Bansal S, Buring JE, Rifai N, Mora S, Sacks FM, Ridker PM. Fasting compared with nonfasting triglycerides and risk of cardiovascular events in women. JAMA (2007) 298:309–16. doi:10.1001/jama.298.3.309

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

11. Freiberg JJ, Tybjaerg-Hansen A, Jensen JS, Nordestgaard BG. Nonfasting triglycerides and risk of ischemic stroke in the general population. JAMA (2008) 300:2142–52. doi:10.1001/jama.2008.621

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

12. Leonards C, Ebinger M, Batluk J, Malzahn U, Heuschmann P, Endres M. The role of fasting versus non-fasting triglycerides in ischemic stroke: a systematic review. Front Neurol (2010) 1:133. doi:10.3389/fneur

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

13. Ridker PM. Fasting versus nonfasting triglycerides and the prediction of cardiovascular risk: do we need to revisit the oral triglyceride tolerance test? Clin Chem (2008) 54:11–3. doi:10.1373/clinchem.2007.097907

CrossRef Full Text

14. Ebinger M, Heuschmann PU, Jungehuelsing GJ, Werner C, Laufs U, Endres M. The Berlin “Cream&Sugar” study: the prognostic impact of an oral triglyceride tolerance test in patients after acute ischaemic stroke. Int J Stroke (2010) 5:126–30.

15. Adams HP, Bendixen BH, Kappelle LJ, Biller J, Love BB, Gordon DL, et al. Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in acute stroke treatment. Stroke (1993) 24:35–41. doi:10.1161/01.STR.24.1.35

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

16. Foundation NK. K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis (2002) 39:S1–266.

17. Lee T-H, Hsu W-C, Chen C-J, Chen S-T. Etiologic study of young ischemic stroke in Taiwan. Stroke (2002) 33:1950–5. doi:10.1161/01.STR.0000021409.16314.16

CrossRef Full Text

18. Wahlund LO, Barkhof F, Fazekas F, Bronge L, Augustin M, Sjögren M, et al. A new rating scale for age-related white matter changes applicable to MRI and CT. Stroke (2001) 32:1318–22. doi:10.1161/01.STR.32.6.1318

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

19. Fazekas F, Kleinert R, Offenbacher H, Schmidt R, Kleinert G, Payer F, et al. Pathologic correlates of incidental MRI white matter signal hyperintensities. Neurology (1993) 43:1683–1683. doi:10.1212/WNL.43.9.1683

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

20. Lee S-H, Bae H-J, Ko S-B, Kim H, Yoon B-W, Roh J-K. Comparative analysis of the spatial distribution and severity of cerebral microbleeds and old lacunes. J Neurol Neurosurg Psychiatr (2004) 75:423–7. doi:10.1136/jnnp.2003.015990

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

21. Leonards CO, Ipsen N, Malzahn U, Fiebach JB, Endres M, Ebinger M. White matter lesion severity in mild acute ischemic stroke patients and functional outcome after 1 year. Stroke (2012) 43:3046–51. doi:10.1161/STROKEAHA.111.646554

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

22. Ebinger M, Galinovic I, Rozanski M, Brunecker P, Endres M, Fiebach JB. Fluid-attenuated inversion recovery evolution within 12 hours from stroke onset: a reliable tissue clock? Stroke (2010) 41:250–5. doi:10.1161/STROKEAHA.109.568410

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

23. Webb AJS, Simoni M, Mazzucco S, Kuker W, Schulz U, Rothwell PM. Increased cerebral arterial pulsatility in patients with leukoaraiosis: arterial stiffness enhances transmission of aortic pulsatility. Stroke (2012) 43:2631–6. doi:10.1161/STROKEAHA.112.655837

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

24. Jickling G, Salam A, Mohammad A, Hussain MS, Scozzafava J, Nasser AM, et al. Circulating endothelial progenitor cells and age-related white matter changes. Stroke (2009) 40:3191–6. doi:10.1161/STROKEAHA.109.554527

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

25. Nordestgaard BG, Benn M, Schnohr P, Tybjaerg-Hansen A. Nonfasting triglycerides and risk of myocardial infarction, ischemic heart disease, and death in men and women. JAMA (2007) 298:299–308. doi:10.1001/jama.298.3.299

CrossRef Full Text

26. Groot PH, Van Stiphout WA, Krauss XH, Jansen H, Van Tol A, Van Ramshorst E, et al. Postprandial lipoprotein metabolism in normolipidemic men with and without coronary artery disease. Arterioscler Thromb (1991) 11:653–62. doi:10.1161/01.ATV.11.3.653

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

27. Wardlaw JM, Sandercock PA, Dennis MS, Starr J. Is breakdown of the blood-brain barrier responsible for lacunar stroke, leukoaraiosis, and dementia? Stroke (2003) 34:806–12. doi:10.1161/01.STR.0000058480.77236.B3

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

28. Fisher CM. Lacunar strokes and infarcts: a review. Neurology (1982) 32:871–871. doi:10.1212/WNL.32.8.871

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

29. Wardlaw J. Response to letter by Landau. Stroke (2009) 40:e500. doi:10.1161/STROKEAHA.109.554733

CrossRef Full Text

30. Boiten J, Lodder J, Kessels F. Two clinically distinct lacunar infarct entities? A hypothesis. Stroke (1993) 24:652–6. doi:10.1161/01.STR.24.5.652

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

31. Moreau F, Patel S, Lauzon ML, McCreary CR, Goyal M, Frayne R, et al. Cavitation after acute symptomatic lacunar stroke depends on time, location, and MRI sequence. Stroke (2012) 43:1837–42. doi:10.1161/STROKEAHA.111.647859

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Keywords: ischemia, cerebral lacunes, leukoaraiosis, white matter disease, triglycerides, glucose

Citation: Leonards CO, Wang L, Fiebach JB, Endres M and Ebinger M (2013) Fasting versus post-challenge triglycerides and pre-existing cavitating lacunes: a Berlin “Cream & Sugar” substudy. Front. Neurol. 4:92. doi: 10.3389/fneur.2013.00092

Received: 03 April 2013; Accepted: 27 June 2013;
Published online: 10 July 2013.

Edited by:

Martin Dichgans, University of Munich, Germany

Reviewed by:

Julian Bösel, University Hospital Heidelberg, Germany
Daniel Bereczki, Semmelweis University, Hungary

Copyright: © 2013 Leonards, Wang, Fiebach, Endres and Ebinger. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.

*Correspondence: Christopher O. Leonards, Center for Stroke Research Berlin (CSB), Charité – Universitätsmedizin Berlin, Campus Mitte, Charitéplatz 1, D-10117 Berlin, Germany e-mail: christopher.leonards@charite.de

Christopher O. Leonards and Li Wang have contributed equally to this work.

Clinical Trial Registration Information: The Berlin “Cream & Sugar” study is registered with EudraCT (2009-010356-97) and clinicaltrials.gov (NCT 01378468).