Correlation between white blood cell count and mood-stabilising treatment response in two bipolar disorder trials

2019 ◽  
Vol 31 (04) ◽  
pp. 230-234
Author(s):  
Ole Köhler-Forsberg ◽  
Louisa G. Sylvia ◽  
Charles L. Bowden ◽  
Joseph R. Calabrese ◽  
Michael E. Thase ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Immune System ◽  
Blood Cell ◽  
Treatment Response ◽  
White Blood Cell ◽  
Standard Dose ◽  
Specific Treatment ◽  
Disorder Treatment ◽  
Pre Treatment ◽  
Personalised Treatment

AbstractBackground:Immune system markers may predict affective disorder treatment response, but whether an overall immune system marker predicts bipolar disorder treatment effect is unclear.Methods:Bipolar CHOICE (N = 482) and LiTMUS (N = 283) were similar comparative effectiveness trials treating patients with bipolar disorder for 24 weeks with four different treatment arms (standard-dose lithium, quetiapine, moderate-dose lithium plus optimised personalised treatment (OPT) and OPT without lithium). We performed secondary mixed effects linear regression analyses adjusted for age, gender, smoking and body mass index to investigate relationships between pre-treatment white blood cell (WBC) levels and clinical global impression scale (CGI) response.Results:Compared to participants with WBC counts of 4.5–10 × 109/l, participants with WBC < 4.5 or WBC ≥ 10 showed similar improvement within each specific treatment arm and in gender-stratified analyses.Conclusions:An overall immune system marker did not predict differential treatment response to four different treatment approaches for bipolar disorder all lasting 24 weeks.

scholarly journals Differences in DNA methylation of white blood cell types at birth and in adulthood reflect postnatal immune maturation and influence accuracy of cell type prediction

2018 ◽  
Author(s):  
Meaghan J Jones ◽  
Louie Dinh ◽  
Hamid Reza Razzaghian ◽  
Olivia de Goede ◽  
Julia L MacIsaac ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Immune System ◽  
Blood Cell ◽  
Cord Blood ◽  
White Blood Cell ◽  
Blood Cells ◽  
Cell Types ◽  
Cell Type ◽  
Cell Type Specific ◽  
The Impact

AbstractBackgroundDNA methylation profiling of peripheral blood leukocytes has many research applications, and characterizing the changes in DNA methylation of specific white blood cell types between newborn and adult could add insight into the maturation of the immune system. As a consequence of developmental changes, DNA methylation profiles derived from adult white blood cells are poor references for prediction of cord blood cell types from DNA methylation data. We thus examined cell-type specific differences in DNA methylation in leukocyte subsets between cord and adult blood, and assessed the impact of these differences on prediction of cell types in cord blood.ResultsThough all cell types showed differences between cord and adult blood, some specific patterns stood out that reflected how the immune system changes after birth. In cord blood, lymphoid cells showed less variability than in adult, potentially demonstrating their naïve status. In fact, cord CD4 and CD8 T cells were so similar that genetic effects on DNA methylation were greater than cell type effects in our analysis, and CD8 T cell frequencies remained difficult to predict, even after optimizing the library used for cord blood composition estimation. Myeloid cells showed fewer changes between cord and adult and also less variability, with monocytes showing the fewest sites of DNA methylation change between cord and adult. Finally, including nucleated red blood cells in the reference library was necessary for accurate cell type predictions in cord blood.ConclusionChanges in DNA methylation with age were highly cell type specific, and those differences paralleled what is known about the maturation of the postnatal immune system.

scholarly journals Serum lithium levels are associated with white blood cell counts in bipolar disorder

2016 ◽  
Vol 46 ◽  
pp. 1271-1272 ◽  
Author(s):  
Murat İlhan ATAGÜN ◽  
Şükrü Alperen KORKMAZ ◽  
Çağlar SOYKAN ◽  
Derya BÜYÜKÖZ ◽  
Serdar Süleyman CAN ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Blood Cell ◽  
White Blood Cell ◽  
Cell Counts ◽  
Blood Cell Counts ◽  
White Blood Cell Counts

scholarly journals White blood cell count correlates with mood symptom severity and specific mood symptoms in bipolar disorder

2016 ◽  
Vol 51 (4) ◽  
pp. 355-365 ◽  
Author(s):  
Ole Köhler ◽  
Louisa G Sylvia ◽  
Charles L Bowden ◽  
Joseph R Calabrese ◽  
Michael Thase ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Confidence Interval ◽  
Blood Cell ◽  
Cell Count ◽  
White Blood Cell Count ◽  
White Blood Cell ◽  
Symptom Severity ◽  
Rating Scale ◽  
Blood Cell Count ◽  
Mood Symptom

Objective: Immune alterations may play a role in bipolar disorder etiology; however, the relationship between overall immune system functioning and mood symptom severity is unknown. Methods: The two comparative effectiveness trials, the Clinical and Health Outcomes Initiatives in Comparative Effectiveness for Bipolar Disorder Study (Bipolar CHOICE) and the Lithium Treatment Moderate-Dose Use Study (LiTMUS), were similar trials among patients with bipolar disorder. At study entry, white blood cell count and bipolar mood symptom severity (via Montgomery-Aasberg Depression Rating Scale and Bipolar Inventory of Symptoms Scale) were assessed. We performed analysis of variance and linear regression analyses to investigate relationships between deviations from median white blood cell and multinomial regression analysis between higher and lower white blood cell levels. All analyses were adjusted for age, gender, body mass index, smoking, diabetes, hypertension and hyperlipidemia. Results: Among 482 Bipolar CHOICE participants, for each 1.0 × 109/L white blood cell deviation, the overall Bipolar Inventory of Symptoms Scale severity increased significantly among men (coefficient = 2.13; 95% confidence interval = [0.46, −3.79]; p = 0.013), but not among women (coefficient = 0.87; 95% confidence interval = [−0.87, −2.61]; p = 0.33). Interaction analyses showed a trend toward greater Bipolar Inventory of Symptoms Scale symptom severity among men (coefficient = 1.51; 95% confidence interval = [−0.81, −3.82]; p = 0.2). Among 283 LiTMUS participants, higher deviation from the median white blood cell showed a trend toward higher Montgomery-Aasberg Depression Rating Scale scores among men (coefficient = 1.33; 95% confidence interval = [−0.22, −2.89]; p = 0.09), but not among women (coefficient = 0.34; 95% confidence interval = [−0.64, −1.32]; p = 0.50). When combining LiTMUS and Bipolar CHOICE, Montgomery-Aasberg Depression Rating Scale scores increased significantly among men (coefficient = 1.09; 95% confidence interval = [0.31, −1.87]; p = 0.006) for each 1.0 × 109/L white blood cell deviation, whereas we found a weak association among women (coefficient = 0.55; 95% confidence interval = [−0.20, −1.29]; p = 0.14). Lower and higher white blood cell levels correlated with greater symptom severity and specific symptoms, varying according to gender. Conclusion: Deviations in an overall immune system marker, even within the normal white blood cell range, correlated with mood symptom severity in bipolar disorder, mostly among males. Studies are warranted investigating whether white blood cell count may predict response to mood-stabilizing treatment.

The prechemoradiotherapy/nadir ratio of white blood-cell count to predict tumor response and survival in locally advanced rectal cancer.

2018 ◽  
Vol 36 (4_suppl) ◽  
pp. 783-783
Author(s):  
Joo Hwan Lee ◽  
Sung Hwan Kim ◽  
Jong Hoon Lee ◽  
Soo Yoon Sung ◽  
Hong Seok Jang
Keyword(s):  
Rectal Cancer ◽  
Blood Cell ◽  
Treatment Response ◽  
White Blood Cell ◽  
Tumor Response ◽  
Locally Advanced ◽  
Recurrence Free Survival ◽  
Free Survival ◽  
Cell Counts ◽  
Wbc Count

783 Background: Predicting treatment response of preoperative chemoradiotherapy (CRT) in patients with rectal cancer is important for physicians to guide a patient to the relevant treatment. We evaluate the change of white blood cell (WBC) count before and during CRT if it is associated with susceptibility to the CRT and affects tumor response. Methods: Medical records of 641 patients with rectal cancer who received preoperative CRT followed by curative surgery were retrospectively reviewed. Complete blood cell counts were measured weekly before and during the radiation therapy. We assessed the pre-CRT/nadir ratio of WBC count for the treatment response to CRT and recurrence-free survival. Results: The enrolled patients were divided into two groups of high WBC ratio (HWR) and low WBC ratio (LWR) with the cutoff value of 0.49, which was found by receiver operating characteristic curve (Sensitivity, 0.38 and 1-Specificity, 0.22; p=0.007). In 641 patients, 490 (76.4%) were HWR group and 151 (23.6%) were LWR group. Complete pathologic response rates were 12.2% in HWR group and 23.8% in LWR group, respectively (p=0.001). Downstaging rates of each group were 37.8% and 48.3%, respectively (p=0.02). In the logistic regression analysis, CEA level over 5ng/ml (Adjusted OR 0.566, 95% CI 0.351-0.912; p=0.019) and HWR (Adjusted OR 0.412, 95% CI 0.256-0.663; p=0.001) were significant adverse factors of the pathologic complete response. The 5-year recurrence-free survival rate was significantly higher in LWR group than in HWR group (67.6% and 83.3%; p=0.001). Conclusions: Low WBC ratio predicts a good tumor response to the preoperative CRT, and is significantly associated with an improved recurrence-free survival in rectal cancer.

Dietary Determinants Of The White Blood Cell Count

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 1705-1705
Author(s):  
Pauline D Balkaransingh ◽  
David Wheeler ◽  
Yi Ning ◽  
Marieka A. Helou ◽  
Gita Massey
Keyword(s):  
Immune System ◽  
Blood Cell ◽  
White Blood Cell ◽  
Extreme Values ◽  
Conflicts Of Interest ◽  
White Blood Cells ◽  
The Body ◽  
Outcome Variable ◽  
Subsequent Decrease ◽  
Wbc Count

Abstract Introduction White blood cells are key components of the immune system. They defend the body against a host of diseases and infections. Various studies have explored the possible influence of dietary nutrients on the white blood cell (WBC) count. If it can be demonstrated that nutrients affect the WBC count, they may offer an inexpensive way of modulating the immune system and in turn, the body's ability to fight against disease and infection. The sample sizes of previous studies, however, have been relatively small. The results have therefore been variable and conflicting. The purpose of this study is to continue to explore the dietary determinants of the WBC count, using a database that allows for a larger sample size, the 2005-2006 National Health and Nutrition Health Survey (NHANES). Methods The main outcome variable, WBC count, was recoded to the normal range for ages ≥ 18 years, of 4-11(±2). This was done in order to account for extreme values; particularly high and low values secondary to disease or infection. The population means and 95% confidence intervals were obtained using the statistical weights for the key variables of interest (Table 1). Multiple linear regression and backward elimination were used to predict the final model (Table 2). Variables with p < 0.1 were kept in the model. SAS 9.3 was used for all statistical analyses. Results Associations for age, gender, race and Body Mass Index (BMI) and WBC count, were consistent with previous studies and were all statistically significant (p< 0.0001). It has been shown that more intense physical activity usually leads to an increase in the WBC count. In this study, however, more vigorous forms of activity were associated with a lower WBC count (p < 0.0001). Increases in dietary copper and iron were associated with a subsequent decrease in the WBC count (Table 2, p < 0.05). An increase in vitamin K was also associated with a decrease in WBC count, however, it was not statistically significant (Table 2, p > 0.05). Increases in vitamin B1 were associated with an increase in WBC count (p < 0.05). Conclusion The results of this study suggest that further prospective studies are needed to investigate the role of these nutrients as determinants of the WBC count. Disclosures: No relevant conflicts of interest to declare.

scholarly journals Brief Report: Synovial Fluid White Blood Cell Count in Knee Osteoarthritis: Association With Structural Findings and Treatment Response

2016 ◽  
Vol 69 (1) ◽  
pp. 103-107 ◽  
Author(s):  
Paul S. McCabe ◽  
Matthew J. Parkes ◽  
Nasimah Maricar ◽  
Charles E. Hutchinson ◽  
Anthony Freemont ◽  
...  
Keyword(s):  
Synovial Fluid ◽  
Blood Cell ◽  
Knee Osteoarthritis ◽  
Cell Count ◽  
Treatment Response ◽  
White Blood Cell Count ◽  
White Blood Cell ◽  
Blood Cell Count

scholarly journals M17. PREDICTION OF NEUROLEPTIC AND ANTIDEPRESSANT TREATMENT RESPONSES VIA FMRI OF THE EXTENDED REWARD SYSTEM

2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S139-S140
Author(s):  
Oliver Gruber ◽  
Lisa Rauer ◽  
Sarah Trost ◽  
Maximilian Lückel
Keyword(s):  
Bipolar Disorder ◽  
Antidepressant Treatment ◽  
Specific Treatment ◽  
Reward System ◽  
Brain Regions ◽  
Neuroleptic Treatment ◽  
Treatment Responses ◽  
Pre Treatment ◽  
Optimized Treatment ◽  
Neuroimaging Techniques

Abstract Background Neuroimaging techniques have been developed as important tools to assess brain dysfunctions that underlie mental disorders. In particular, modern functional magnetic resonance imaging (fMRI) holds the promise to provide neurofunctional biomarkers for improved differential diagnosis and optimized treatment of schizophrenic and affective disorders. Methods Neurofunctional connectivity MRI of the extended human reward system (Makris et al., 2008) was conducted in a large transnosological cohort of patients suffering from schizophrenia, bipolar disorder or major depressive disorder. Responses to neuroleptic treatments in patients with schizophrenic or bipolar disorder were determined retrospectively, while treatment responses to different antidepressants were directly assessed in a prospective naturalistic clinical study. Results Responders to neuroleptic treatment with aripiprazole showed significantly higher reward-related activation in a larger set of brain regions (including ventral striatum, hippocampus, amygdala, pregenual ACC and anteroventral PFC) in comparison to non-responders to aripiprazole. This finding proved to be specific for this neuroleptic treatment when compared to treatments with other atypical or typical neuroleptics. Pre-treatment reward-related activation of the nucleus accumbens, the ventral tegmental area and the amygdala showed a substance-class specific correlation with subsequent antidepressant treatment responses to SSRIs and/or agomelatine. Discussion These findings of ongoing studies exemplify the high potential of neuroimaging techniques to foster the development of precision medicine in psychiatry. The identification of neuroimaging markers associated with specific treatment responses may allow the development of “tailored”, i.e. stratified treatment approaches.

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