I have noticed a growing number of companies offering to measure nutrient levels and then offering a personalized treatment approach to address deficiencies identified. I have also been sent individual blood results from members of the public and asked whether the results can be used to direct the best treatment. Others contact me and tell me their nutrient levels are “normal” so their doctor told them there was no need for additional nutrients.

It is a reasonable question because there are many studies that suggest that people with psychological problems such as ADHD have lower levels of nutrients in their blood relative to the nonclinical population. What we don’t know is whether it is necessary to be deficient in order to benefit from additional nutrients than what you can get out of your diet.

So what does the research say?

Our lab at the University of Canterbury in New Zealand is one of a few that has specifically investigated whether nutrient levels are predictive of response to a broad spectrum micronutrient intervention. It is important to note that not many labs take this approach, that is giving a combination of nutrients together and then assess treatment response. Many researchers make the assumption that one must be deficient to benefit from nutrients, and therefore select people for the deficiency and only treat them. We treat everyone, regardless of identified deficiency, and then assess whether the deficiency predicts who will respond and who won’t.

Overall, our research shows that the effect, if there is one, is weak, and certainly not useful at an individual level as a good predictor of treatment outcome.

Here is what we did: We assessed some key nutrients pre-treatment via serum/plasma. We measured vitamin B12, vitamin D, zinc, copper, folate, ferritin, potassium, sodium, calcium, and homocysteine. We have looked at two data sets – an adult study and a child study, both comparing vitamins/minerals to placebo in the treatment of symptoms associated with ADHD.

Findings from the adult ADHD trial:

Participants improved significantly on all outcome measures after exposure to the micronutrients for 8 weeks; 61% were identified as responders.

But, there was no relationship between baseline functioning and baseline nutrient levels. This was a bit surprising given that studies have identified deficiencies in magnesium, zinc and iron in children with ADHD. Surprisingly, we didn’t find that these nutrient levels were highly correlated with ADHD symptoms.

Very few predictors were identified. We found that greater pre-treatment with ferritin predicted who would be an ADHD responder. We wondered if those with higher ferritin had higher inflammation and therefore responded more rapidly to the treatment as the micronutrients may have improved inflammation.

Lower pre-treatment vitamin D predicted greater change on a measure of mood. This finding is not unexpected as low vitamin D levels have been associated with low mood. Pre-treatment copper gave us a signal, but it was weak and mixed.

Micronutrient supplementsIt is important to note that while there were these small signals, there were still many people with normal levels of these nutrients who benefitted from the nutrient approach, only there were fewer relative to those with vitamin D and copper deficiencies.

No other relationships between baseline nutrient levels and treatment response were identified. In other words, zinc, iron and vitamin B12 pre-treatment did not predict who would benefit and who would not. Further, there were no specific demographic variables (age, socio-economic status, gender, marital status, education) which contraindicated micronutrient treatment for ADHD in adults.

Findings from the child trial:

We identified that 49% of the children responded to the micronutrient intervention. Substantial nutrient deficiencies pre-treatment were observed only for vitamin D (13%) and copper (15%), otherwise most children entered the trial with nutrient levels falling within expected ranges. Lower pre-treatment folate and B12 levels, being female, greater severity of symptoms and co-occurring disorders pre-treatment, more pregnancy complications and fewer birth problems were identified as possible predictors of greater improvement for some but not all outcome measures although predictive values of all of them were weak. Lower IQ and higher BMI predicted greater improvement in aggression.

It is important to note that levels of folate pre-treatment for ADHD responders was within the normal reference range for folate (>8nmol/L). In other words, the blood tests did not identify responders as deficient in folate, just lower relative to non-responders. Note though, that there were many children with higher B12 and folate who did benefit from the nutrient treatment. No other relationships between pre-treatment nutrient levels and treatment response were identified.

It is also important to point out that across two studies, replication did not occur and any findings we did observe were incredibly modest. As such, they could not be used at an individual level to reliably identify who might benefit from this treatment approach. We see this as good news as it means people don’t have to feel they need to get expensive testing done before trying nutrients. The bad news is that the search is still on to figure out why some people respond and some don’t.

Although not reported in these trials, we have also looked at the predictive value of nutrient levels recorded from hair samples and similarly, the levels were also not overly helpful at predicting treatment response.

Do nutrient levels have to change for benefit to occur?

Now this is a tricky question. But we have now published a study looking at this very question, that is, whether change in a nutrient biomarker is correlated with improvement in mental health. Our overall findings were that they were not.

I think this type of question stems from research in medicine such as physicians tracking cholesterol levels in order to determine whether they are associated with the progression of disease (such as incidence of stroke). Change in cholesterol levels are used to estimate risk for future cardiovascular events.

In the mental health world, at best, they are weakly correlated with improvement in symptoms and probably not that helpful. We investigated whether changes in serum nutrient levels mediate clinical response to a micronutrient intervention for ADHD. Data were compiled from two ADHD trials (8-10 weeks), one in adults (n = 53) and one in children (n = 38). Seven outcomes included change in ADHD symptoms, mood, overall functioning (all clinician-rated) as well as response status. Change in serum/plasma nutrient levels (vitamins B12 and D, folate, ferritin, iron, zinc, and copper) were considered putative mediators.

We found that a decrease in ferritin and an increase in copper were weakly associated with greater likelihood of being identified as an ADHD responder; none of the other nutrient biomarkers served as mediators. Perhaps we need to look to see if other tissue (like hair or microbiome samples) might be more useful. Monitoring these biomarkers is unlikely helpful in understanding clinical response to a broad-spectrum micronutrient approach.

Blood levels don’t necessarily tell us what is going on in the brain and what nutrients are being used and what isn’t being used. We didn’t look at ALL nutrients so it may be we missed an important biomarker. It may be ratios are more important. But next time a professional is keen to track nutrient levels as a proxy for response, perhaps be a bit sceptical about whether the data support such testing.

Is the term deficiency accurate?

The term “deficiency”, as is often used in the ADHD literature when discussing nutrient levels, may be problematic. Although research shows that the ADHD group mean nutrient levels are often below control group means, the ADHD means are typically still falling within the normal reference range, potentially challenging the use of the term “nutrient deficiency” when attempting to investigate causes of ADHD and in relation to predicting response to nutrients. Given that reference ranges are generally defined as the set of values that 95 percent of the normal population falls within, this does not necessarily mean that these ranges are best equipped to identify what is required for optimal health for any particular individual.

Had functional ranges (the range used to assess risk for disease before the disease develops) been used in these studies, many more would have been identified with “deficiencies”. An important hypothesis which requires further investigation is that some individuals may have suboptimal nutrition for brain health despite having nutrient levels within the reference range. In other words, they might have a nutrient deficiency relative to their metabolic needs rather than relative to general population levels.

It is exciting that the EAT2BeNice consortium (NewBrainNutrition) will be looking at nutrient levels alongside other biomarkers so we can confirm whether these results are replicable. Hopefully some of the other biomarkers will prove more useful at predicting treatment response. Afterall, it is a valid clinical question to wonder – when a treatment works, who does it work for and why? These types of data inform clinical practice and can help the consumer decide whether you should go for that expensive testing, or not bother. At this stage, I wouldn’t bother.

References

  1. Rucklidge JJ, Johnstone JM, Gorman B, Boggis A, Frampton CM. Moderators of treatment response in adults with ADHD treated with a vitamin-mineral supplement. Prog Neuropsychopharmacol Biol Psychiatry. 2014;50:163-71.
  2. Rucklidge JJ, Eggleston MJF, Darling K, Stevens A, Kennedy M, Frampton CM. Can we predict treatment response in children with ADHD to a vitamin-mineral supplement? An investigation into pre-treatment nutrient serum levels, MTHFR status, clinical correlates and demographic variables. Prog Neuropsychopharmacol Biol Psychiatry. 2018.
  3. Rucklidge JJ, Eggleston MJF, Boggis A, Darling K, et al. Do Changes in Blood Nutrient Levels Mediate Treatment Response in Children and Adults With ADHD Consuming a Vitamin–Mineral Supplement? Journal of Attention Disorders. 2019. 0:1087054719886363.

 

Please share and like us:
error

Meet Tim: he is an 8-year-old boy, living in the Netherlands with his parents and younger sister. A couple of years ago, Tim was diagnosed with Attention Deficit Hyperactivity/Impulsivity Disorder (ADHD). His psychologist recommended to participate in the TRACE study: this study examines the short- and long-term effects of dietary treatments in children with ADHD. In addition, the TRACE-BIOME study examines the underlying mechanisms of a dietary treatment. For this, we collect blood, stool and saliva samples and we perform a fMRI. These measurements might, among other things, shed light on the role of the brain-gut-axis.

But what’s it like to participate in a clinical trial? First of all, Tim was allocated to one of the two TRACE dietary treatments: an elimination diet or a healthy diet. Tim was allocated to the elimination diet. If we want to know if this diet is effective for Tim, we have to do a lot of different assessments (Figure 1).

Figure 1: assessments TRACE study
The TRACE Study, New Brain Nutrition

 

 

 

Before the baseline, 5 week and 1-year assessments, a couple of measurements already take place:

  • Tim wears an Actigraph one week before the assessment, which measures motor activity and sleep-wake rhythm;
  • Parents collect a stool sample from Tim in which his microbiota can be assessed;
  • Parents and teachers fill out different questionnaires about Tim’s behavior, but also about for example parenting styles;
  • Parents keep track of a food diary: what does Tim eat during two weekdays and one weekend day?

Before starting the elimination diet, Tim’s parents have a consult with one of the TRACE dieticians, so that they can prepare changing the diet of Tim. Then, it is time for the baseline assessment. Tim and his mother meet the researcher at the hospital for the blood venipuncture. He also has to chew on a cotton pad to collect a saliva sample. After this, they walk to Karakter which is a center for Child and Adolescent Psychiatry. The researcher measures his weight, length, blood pressure and heart rate. Next, Tim has to perform a task on the laptop which he really likes! This task assesses cognitive functions such as sustained attention, working memory and cognitive flexibility. After the computer task there is time for a break. Next, they start with a behavioral observation. In this task, Tim first plays with his mother and then with the researchers. The different tasks try to elicit ADHD symptoms and emotion (dys)regulation behavior. Finally, the MRI researcher takes Tim and his mother to the fMRI scanner in which he has to do two different tasks. All in all, the assessment takes about 4 hours.

After 5 weeks of the diet, it is time for the second assessment which is the same as the baseline assessment. The researcher has calculated, based on the parent and teacher questionnaires, if there is a significant response to the diet. Tim shows a 40% reduction of ADHD symptoms, which is a significant response! Therefore, they continue the diet. After 4 and 8 months of the diet, his parents receive some online questionnaires. Finally, after one year they are invited for the final assessment, which is again the same as the baseline assessment (without the fMRI).

 

The following YouTube video explains the assessments described above, in Dutch: ADHD en voeding: TRACE-onderzoek testdag

Please share and like us:
error

Meet Tim: he is an 8-year-old boy, living in the Netherlands with his parents and younger sister. A couple of years ago, Tim was diagnosed with Attention Deficit Hyperactivity/Impulsivity Disorder (ADHD). His psychologist recommended to participate in the TRACE study: this study examines the short- and long term effects of dietary treatments in children with ADHD. In addition, the TRACE-BIOME study examines the underlying mechanisms of a dietary treatment. For this, we collect blood, stool, and saliva samples and we perform a fMRI. These measurements might, among other things, shed light on the role of the brain-gut-axis.

But what’s it like to participate in a scientific study? First of all, Tim was allocated to one of the two TRACE dietary treatments: an elimination diet or a healthy diet. Tim was allocated to the elimination diet. If we want to know if this diet is effective for Tim, we have to do a lot of different assessments (Figure 1).

Figure 1: assessments TRACE study

 

 

           

 

 

 

 


Before the baseline, 5 week and 1-year assessments, a couple of measurements already take place:

  • Tim wears an Actigraph one week before the assessment, which measures motor activity and sleep-wake rhythm;
  • Parents collect a stool sample from Tim in which his microbiota can be assessed;
  • Parents and teachers fill out different questionnaires about Tim’s behavior, but also about, for example, parenting styles;
  • Parents keep track of a food diary: what does Tim eat during two weekdays and one weekend day?

Before starting the elimination diet, Tim’s parents have a consult with one of the TRACE dieticians, so that they can prepare changing the diet of Tim. Then, it is time for the baseline assessment. Tim and his mother meet the researcher at the hospital for the blood venipuncture. He also has to chew on a cotton pad to collect a saliva sample. After this, they walk to Karakter which is a center for Child and Adolescent Psychiatry. The researcher measures his weight, length, blood pressure and heart rate. Next, Tim has to perform a task on the laptop which he really likes! This task assesses cognitive functions such as sustained attention, working memory, and cognitive flexibility. After the computer task, there is time for a break. Next, they start with behavioral observation. In this task, Tim first plays with his mother and then with the researchers. The different tasks try to elicit ADHD symptoms and emotion (dys)regulation behavior. Finally, the MRI researcher takes Tim and his mother to the fMRI scanner in which he has to do two different tasks. All in all, the assessment takes about 4 hours.

After 5 weeks of the diet, it is time for the second assessment which is the same as the baseline assessment. The researcher has calculated, based on the parent and teacher questionnaires, if there is a significant response to the diet. Tim shows a 40% reduction of ADHD symptoms, which is a significant response! Therefore, they continue the diet. After 4 and 8 months of the diet, his parents receive some online questionnaires. Finally, after one year they are invited for the final assessment, which is again the same as the baseline assessment (without the fMRI).

The following movie explains the assessments described above, in Dutch: 

Please share and like us:
error

Recently I had a great chance to participate in the 19th WPA World Congress of Psychiatry which took place in Lisbon 21-24 of August 2019. Such an international scientific event summarizes recent findings and sets a trend for future research.

The effect of lifestyle on mental health was one of the topics discussed at the conference. Focusing on nutritional impact in psychiatry I will review here some of the studies – research done in animal models or patients and literature reviews – which were presented at the Congress.

All the poster presentations can be viewed on the conference website https://2019.wcp-congress.com/.

Dietary patterns and mental health

  1. Sanchez-Villegas and colleagues from Spain1 presented research on the Mediterranean diet’s effects in patients recovered from depressive disorders. They found that adherence to Mediterranean diet supplemented with extra-virgin olive oil led to the improvement of depressive symptoms. This new study supports previous reports about positive effects of traditional dietary patterns compared to so-called “Western diet”, and this topic was nicely reviewed in the poster presentation of M. Jesus and colleagues (Portugal)2.

I presented a poster3 on a study done in a mouse model of Western diet feeding. We found that genetic deficiency of serotonin transporter exacerbates metabolic alterations and such behavioural consequences of the Western diet as depressive-like behaviour and cognitive impairment. In human, carriers of a genetic variant that reduces serotonin transporter expression are known to be more susceptible to emotionality-related disorders and prone to obesity and diabetes.

Vitamin D and Mental Health

Nutritional psychiatry was traditionally focused on the effects of vitamins and micronutrients on mental health. Several presentations at this conference were dedicated to the role of vitamin D in mental disorders.

Scientists from Egypt (T. Okasha and colleagues)4 showed their results on the correlation between serum level of vitamin D and two psychiatric disorders: schizophrenia and depression. They found lower serum vitamin D levels in the patients with schizophrenia or depression compared to healthy volunteers. These findings indicate a role of vitamin D in the development of psychiatric disorders.

However, the team from Denmark (J. Hansen and colleagues)5 did not find any effect of 3 months vitamin D supplementation on depression symptoms in patients with major depression. The contrariety of the studies on vitamin D benefits in mental health was presented on the review poster by R. Avelar and colleagues (Portugal)6.

Microbiome and Mental Health

There is increasing evidence that microbiota-gut-brain axis influences behaviour and mental health. N. Watanabe and colleagues (Japan)7 presented the results of a study on germfree and commensal microbiota-associated mice. They found increased aggression and impaired brain serotonin metabolism in germfree mice.

  1. Dias and colleagues (Portugal)8 performed a literature review on this topic exploring possible effects of microbiome and probiotics in mental disorder development. The most robust evidence was found for the association of microbiome alterations and depression/anxiety. Up to date literature is lacking replicated findings on proving positive effects of probiotics in mental disorders treatment.

Diabetes Type 2 and Mental Disorders

Risk factors for type 2 diabetes include diet and lifestyle habits. It is getting more obvious that there is an association between type 2 diabetes and the development of mental disorders.

  1. Mhalla and colleagues (Tunisia)9 reported a study done on patients with type 2 diabetes. They found a high prevalence of depression in women with type 2 diabetes. Also, depression in these patients was associated with poorer glycemic control.

Depression is an important factor influencing insomnia. H.C. Kim (Republic of Korea)10 found insomnia in one-third of patients with diabetes type 2.

The group from Romania (A. Ciobanu and colleagues)11 created a meta-analysis of the medical literature showing an association of diabetes type 2 with Alzheimer’s disease. They highlighted the role of insulin signaling in cognition and proposed glucose blood level control as a therapeutic approach in Alzheimer’s disease.

 

Thus, a lot of studies were recently done on the role of nutrition in psychiatric disorders development and therapy. However, there is still room for future discoveries!

REFERENCES:
From 19th WPA World Congress of Psychiatry proceedings:

  1. Sanchez-Villegas, B. Cabrera-Suárez, M. Santos Burguete, P. Molero, A. González-Pinto, C. Chiclana, J. Hernández-Fleta. INTERVENTION WITH MEDITERRANEAN DIET IN THE IMPROVEMENT OF DEPRESSIVE SYMPTOMS IN PATIENTS RECOVERED FROM DEPRESSIVE DISORDER. PREDI-DEP TRIAL PRELIMINARY RESULTS;
  2. Jesus, C. Cagigal, T. Silva, V. Martins, C. Silva. DIETARY PATTERNS AND THEIR INFLUENCE IN DEPRESSION;
  3. Veniaminova, A. Gorlova, J. Hebert, D. Radford-Smith, R. Cespuglio, A. Schmitt-Boehrer, K. Lesch, D. Anthony, T. Strekalova. THE ROLE OF GENETIC SEROTONIN TRANSPORTER DEFICIENCY IN CONSEQUENCES OF EXPOSURE TO THE WESTERN DIET: A STUDY IN MICE;
  4. Okasha, W. Sabry, M. Hashim, A. Abdelrahman. VITAMIN D SERUM LEVEL AND ITS CORRELATION WITH MAJOR DEPRESSIVE DISORDER AND SCHIZOPHRENIA;
  5. Hansen, M. Pareek, A. Hvolby, A. Schmedes, T. Toft, E. Dahl, C. Nielsen7, P. Schulz8. VITAMIN D3 SUPPLEMENTATION AND TREATMENT OUTCOMES IN PATIENTS WITH DEPRESSION;
  6. Avelar, D. Guedes, J. Velosa, F. Passos, A. Delgado, A. Corbal Luengo, M. Heitor. VITAMIN D AND MENTAL HEALTH: A BRIEF REVIEW;
  7. Watanabe, K. Mikami, K. Keitaro, F. Akama, Y. Aiba, K. Yamamoto, H. Matsumoto. INFLUENCE OF COMMENSAL MICROBIOTA ON AGGRESSIVE BEHAVIORS;
  8. Dias, I. Figueiredo, F. Ferreira, F. Viegas, C. Cativo, J. Pedro, T. Ferreira, N. Santos, T. Maia. EMOTIONAL GUT: THE RELATION BETWEEN GUT MICROBIOME AND MENTAL HEALTH;
  9. Mhalla, M. Jabeur, H. Mhalla, C. Amrouche, H. Ounaissa, F. Zaafrane3, L. Gaha. DEPRESSION IN ADULTS WITH TYPE 2 DIABETES: PREVALENCE AND ASSOCIATED FACTORS;
  10. Kim. FACTORS RELATED TO INSOMNIA IN TYPE 2 DIABETICS;
  11. A. Ciobanu, L. Catrinescu2, C. Neagu3, I. Dumitru3. THE CONNECTION BETWEEN ALZHEIMER’S DISEASE AND DIABETES

 

Please share and like us:
error

Twin studies have been used for decades to estimate the relative importance of genes and environments for traits, behaviors and disorders. A very large meta-analysis of all twin studies conducted during the past 50 years (almost 3000 publications) revealed that across all studied traits the average reported heritability was 49%, meaning that about 50% of the variation in traits is due to genetic factors (1).

1. Methods and theory of classical twin design

By comparing the differences and similarities between twins, researchers use them as a natural experiment to study whether a trait, phenotype or disease is due to nature (genetic predisposition) or nurture (environmental factors).

In order to get a better understanding of twin studies, one must first understand the two types of twins:

  • Monozygotic (MZ) or identical twins were conceived in a single egg, which split and forms two embryos. Therefore, MZ twins share all their genes (100%), and are definitely the same sex.
  • Dizygotic (DZ) or fraternal twins were developing from a separate egg and each egg is fertilized by its own sperm cell, and therefore sharing on average 50% of their genes. DZ twins could be of the same sex or different sex.

Based on the different degree of genetic and the similar extent of prenatal and later environmental factors sharing between MZ and DZ twins, MZ twin pairs may show a higher similarity on a given trait, as compared with DZ twins, if genes significantly influence that trait. On the other hand, if MZ and DZ twin pairs share a trait to an equal extent, it is likely that the environment influences the trait more than genetic factors.

The similarity for a given trait is estimates via intra-class correlations (ICC), and similarity across different traits by the cross-twin cross-trait correlations (CTCT). Comparison of correlations across MZ and DZ pairs allows for the variance (V) of a given trait to be decomposed into three factors:

  • Genetic factors, including additive genetic factors (A), and dominant genetic factors (D)
  • Shared environmental factors (C), that is events that happen to both twins, affecting them in the same way. For example, the socio-economic status of the family, the general personality and general parenting styles and beliefs of the parents.
  • Non-shared or unique environmental factors (E), that is events happen to one twin but not the other one, or the events affect either twin in a different way. For example, school and classroom environment, also including measurement error.

Under then assumptions of no interaction and no covariance between A, C, D, and E, the total variance of a phenotype (P) can be expressed as:

𝑉𝑎𝑟,𝑃.=𝐴+𝐷+𝐶+𝐸

Narrow sense heritability is defined as the proportion of variance in a trait due to additive genetic effects (A):

,-2.=,𝑉𝑎𝑟(𝐴)-𝑉𝑎𝑟(𝑃).

Broad sense heritability as the proportion of variance due to additive and dominance genetic effects (A+D):

,-2.=,𝑉𝑎𝑟(𝐴+𝐷)-𝑉𝑎𝑟(𝑃).

The classical twin model can be extended to explore bivariate and multivariate traits association, and test for differences between males and females by using sex-limitation models. More information on how to conduct classical and advanced twin model fitting analyses, please refer to (2) and (3).

2. Important advantages of twin studies

  • Estimate the relative importance of genetic factors (i.e., heritability) of one or more traits
  • Help identify shared genetic factors that influence different traits, behaviors and disorders.
  • Explore the causal status of environmental risk factors by controlling for genetic and shared environmental confounding.
  • Offers unique opportunities to study the gene-environmental interplay, including both gene-environmental correlations and gene-environmental interactions.

In summary, the twin study design is considered an important behavioral genetic approach that has been used in many fields, including biology, psychology and sociology. Using a substantial amount of the published twin research (and other genetic informative studies, e.g. sibling comparison, adoption studies), Plomin et al. summarized the top 10 replicated and important findings (4). These findings included:

  • All psychological traits show significant and substantial genetic influence;
  • No traits are 100% heritable, highlighting the importance of environmental factors, and
  • The heritability is caused by many genes of small effect.

Most of these findings or discoveries that could only have been found using genetically sensitive research designs.

In the Eat2BeNice project, we are currently using data from Swedish Twin Register (https://ki.se/en/research/the-swedish-twin-registry) to estimate the heritability of unhealthy eating habits and ADHD symptoms in adults, and also to investigate the relative importance of genetic, shared environmental and non-shared environmental factors for the overlap between adult ADHD symptoms and different dietary habits diets. We will also test specific hypothesis regarding gene-environmental interactions.

Authors:
Lin Li, MSc, PhD student in the School of Medical Science, Örebro University, Sweden.

Henrik Larsson, PhD, professor in the School of Medical Science, Örebro University and Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Sweden.

REFERENCES

  1. Polderman TJ, Benyamin B, de Leeuw CA, Sullivan PF, van Bochoven A, Visscher PM, et al. Meta-analysis of the heritability of human traits based on fifty years of twin studies. Nature genetics. 2015;47(7):702-9.
  2. Neale, M. C. and Meas, H. M. Methodology for genetic studies of twins and families. and the paper Rijsdijk FV & Sham PC. (2002),
  3. Analytic Approaches to Twin Data using Structural Equation Models. Briefings in Bioinformatics, 3 (2), 119 -133.
  4. Plomin, Robert, et al. “Top 10 replicated findings from behavioral genetics.” Perspectives on psychological science11.1 (2016): 3-23.

 

Please share and like us:
error

In the Eat2beNICE project, the researchers aim at studying the effect of diet and mental health and our blogs are meant to enlighten readers.

Every day research findings published in journals will offer an opinion on how to best live our lives. It is simply not possible, nor advised, to change your habit after every piece of new knowledge. On the other hand, researchers do need to publish their results in order to have their findings discussed and reproduced. How do you as a reader navigate?

No single study should alone be enough to change nutritional advice or guidelines. The research into a specific field is best understood when looking at several pieces of knowledge (or publications) as contributing to a bigger picture. Kim Tingley wrote a descriptive picture in the New York Times Magazine on how to view scientific findings. https://www.nytimes.com/2019/05/16/magazine/how-much-alcohol-can-you-drink-safe-health.html Here he writes that the process of understanding the contribution of scientific research should be like looking through a lens and asking yourself if it is clearer or less clear with this particular piece of new information.

Interpreting results from a study isn’t always easy and the limitations of the study can sometimes be difficult to spot. If you are feeling bombarded by the media with constant new findings, be aware that single findings are one piece of information, usually not the full picture and should be interpreted as such. For more information on matters of interests, a good place to start is looking at literature reviews or in the Cochrane Library https://www.cochranelibrary.com/ which will offer views on important publications within a field and help you interpret status quo.

REFERENCES

Please share and like us:
error

MoBa is short for The Norwegian Mother and Child Cohort Study which is a large pregnancy observational study. During the years 1999-2008 pregnant women in Norway were recruited to the study. The study is conducted by the Norwegian Institute of Public Health. Questionnaires regarding health, diet and environment were sent out to the women during and after pregnancy. Women are sent regular follow-up questionnaires. As the child grows up, the child also completes questionnaires. In addition, the fathers were invited to participate with a questionnaire when their partner was pregnant. Biological samples were also collected from the mother, father and child. Today there are 114 500 children, 95 000 mothers and 75 000 fathers participating in the study.

https://www.fhi.no/en/studies/moba/

The study was set up to gain knowledge about the causes behind serious disease. The study is unique because it gathers information from fetal (in vitro) life and follows the offspring into adulthood. In this manner it is possible to look at early influences and later disease. The study is prospective, which means that information about mothers, fathers and their offspring is registered before a disease has manifested itself. With this design, women are asked questions several times during her pregnancy and do not have to try to remember what she did when looking back at her pregnancy.

MoBa is population-based and became nationwide with 50 participating hospitals in Norway. For more information on the many publications based on MoBa data, visit this link:

https://www.fhi.no/en/studies/moba/for-forskere-artikler/publications/

The participating women in MoBa also filled in a questionnaire about eating habits before and during pregnancy.

.

Please share and like us:
error

Recently, I participated in the Radboud Talks 2019, a scientific pitch competition, where I was lucky to be one of the eight finalists.

Why Radboud Talks? It is a perfect opportunity to share my work/ideas with the world and to gain more experience regarding presentation skills. They organized two workshops beforehand, where I had the opportunity to learn presentation techniques from professionals (actors and science communication advisors). We also received a lot of feedback, so I really learned a lot about how to present my scientific work to a general audience.

Below you can find the video from the preliminaries based on which I was chosen as a finalist. There you can hear about my research project which is about gut bacteria and their potential role in ADHD (Attention Deficit Hyperactivity Disorder). ADHD is a common worldwide neurodevelopmental disorder. Every person with ADHD has a unique combination of symptoms and challenges. Importantly, it has a significant social impact on patients’ lives, causing disruption at school, work and relationships. Despite its societal importance, progress in understanding disease biology has been slow.

 

The study of the human microbiome has become a very popular topic, because of their revealed importance in human physiology and health maintenance. Numerous studies have reported that gut bacteria may have an effect on our mental health. Some studies showed a potential role of gut bacteria in a psychiatric disorder like depression, autism or Parkinson (1). Above all, diet showed to have a profound effect of ADHD symptoms. This was earlier described in this blog: https://newbrainnutrition.com/investigating-the-effects-of-a-dietary-intervention-in-adhd-on-the-brain/ and we know that diet is one of the main factors influencing gut bacteria. Taking all together, I am curious (and investigating) if gut bacteria play a role in ADHD and if yes what kind of effect do they have on ADHD symptoms.

REFERENCES:
Bastiaanssen, T., Cowan, C., Claesson, M. J., Dinan, T. G., & Cryan, J. F. (2018). Making Sense of … the Microbiome in Psychiatry. The international journal of neuropsychopharmacology22(1), 37–52. doi:10.1093/ijnp/pyy067

 

Please share and like us:
error

Recent research (1,2) on children and adolescents has reported that elevated levels of ADHD symptoms are positively associated with unhealthy dietary habits, including a higher consumption of refined sugars, processed food, soft drink, instant noodles, and a lower intake of vegetables and fruits. However, the link between low-quality diets and risk of ADHD in adults is still not well established, which would be further explored in the ongoing Eat2beNICE research project.

What is the underlying mechanism for an association between ADHD and unhealthy dietary habits? There is still no clear answer. Nemours’ potential biological pathways, by which dietary intake could have an impact on mental health, has been proposed in the literature (2). For example, iron and zinc are cofactors for dopamine and norepinephrine production (essential factors in the etiology of ADHD), so unbalanced diet with lower levels of iron and zinc may further contribute to the development of ADHD. However, we cannot overlook the possibility of a bi-directional relationship between diet quality and ADHD, especially when the interest in the concept of “food addiction” has received increased attention.

Food addiction refers to being addicted to certain foods (e.g. highly processed foods, highly palatable foods, sweet and junk foods) in a similar way as drug addicts are addicted to drugs. Animal models (3) have suggested that highly processed foods may possess addictive properties. Rats given high-sugar or high-fat foods display symptoms of binge eating, such as consuming increased quantities of food in short time periods, and seeking out highly processed foods despite negative consequences (e.g. electric foot shocks). One human study (4) found that individuals with high levels of ADHD-like traits (e.g. high levels of impulsively, disorganised, attention problems) were more likely to suffer from problematic eating behaviour with overconsumption of specific highly palatable foods in an addiction-like manner. Therefore, food addiction may, just as substance abuse, be over-represented among individuals with ADHD.

Thus, it seems there could be a vicious cycle between unhealthy dietary habits and ADHD: ADHD may lead to a worse choice of diet, lowering the health quality, which could eventually exacerbate ADHD symptoms. We will further test the bidirectional diet-ADHD associations in the ongoing Eat2beNice project.

This was co-authored by Henrik Larsson, professor in the School of Medical Science, Örebro University and Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Sweden.

AUTHORS:
Lin Li, MSc, PhD student in the School of Medical Science, Örebro University, Sweden.
Henrik Larsson, PhD, professor in the School of Medical Science, Örebro University and Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Sweden.

REFERENCES:
1. Kim KM, Lim MH, Kwon HJ, Yoo SJ, Kim EJ, Kim JW, et al. Associations between attention-deficit/hyperactivity disorder symptoms and dietary habits in elementary school children. Appetite. 2018;127:274-9.

2. Rios-Hernandez A, Alda JA, Farran-Codina A, Ferreira-Garcia E, Izquierdo-Pulido M. The Mediterranean Diet and ADHD in Children and Adolescents. Pediatrics. 2017;139(2).

3. Gearhardt AN, White MA, Potenza MN. Binge Eating Disorder and Food Addiction. Curr Drug Abuse Rev. 2011;4(3):201-7.

4. Ptacek R, Stefano GB, Weissenberger S, Akotia D, Raboch J, Papezova H, et al. Attention deficit hyperactivity disorder and disordered eating behaviors: links, risks, and challenges faced. Neuropsychiatr Dis Treat. 2016;12:571-9.

Please share and like us:
error

A little while ago, this blog featured an entry by Annick Bosch on the TRACE study, an amazing intervention study using the Elimination Diet to treat ADHD in kids (https://newbrainnutrition.com/adhd-and-elimination-diet/). Very shortly summarized, the Elimination Diet entails that participants can only eat a very restricted set of foodstuffs for several weeks, which can greatly reduce the number of ADHD symptoms in some kids. Subsequently, new foodstuffs are added back into the diet one by one, all the time checking that ADHD symptoms do not return. This ensures that every child for which the Elimination Diet proves successful ends up with a unique diet which suppresses their ADHD symptoms.

Now this is a fascinating study, since it indicates a direct influence of diet on ADHD behavior. What we know from the neurobiology of ADHD, is that it is caused by a myriad of relatively small changes in the structure, connectivity and functioning of several brain networks 1. For the most common treatments of ADHD, like medication with methylphenidate 2, we can quite accurately see the changes these interventions have on brain functioning. However, for the Elimination Diet, this has not been studied before at all. This is why we are now starting with the TRACE-MRI study, where kids that participate in a diet intervention in the TRACE program, are also asked to join for two sessions in an MRI scanner. Once before the start of the diet, and once again after 5 weeks, when the strictest phase of the Elimination Diet concludes. In the MRI scanner, we will look at the structure of the brain, at the connectivity of the brain, and at the functioning of the brain using two short psychological tasks. We made a short vlog detailing the experience of some of our first volunteers for this MRI session.

 

 

With the addition of this MRI session, we hope to be able to see the changes in brain structure and function over the first 5 weeks of the diet intervention. This will help us establish a solid biological foundation of how diet can influence the brain in general, and ADHD symptoms specifically. It can also show us if the effect of the Elimination Diet is found in the same brain networks and systems which respond to medication treatment. And lastly, we can see if there is a difference in the brains for those participants for whom the diet has a strong effect versus those where the diet does little or nothing to improve their ADHD symptoms. This can then help us identify for which people a dietary intervention would be a good alternative to standard treatment.

We will update you on the TRACE-MRI study and on the developments in this field right here on this blog!

 

REFERENCES
Faraone, S. V et al. Attention-deficit/hyperactivity disorder ­­­. Nat. Rev. Dis. Prim. 1, (2015).

Konrad, K., Neufang, S., Fink, G. R. & Herpertz-Dahlmann, B. Long-term effects of methylphenidate on neural networks associated with executive attention in children with ADHD: results from a longitudinal functional MRI study. J. Am. Acad. Child Adolesc. Psychiatry 46, 1633–41 (2007).

Please share and like us:
error


Welcome to New Brain Nutrition. You can enjoy FREE Online Courses when you Log In or Join here.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 728018

New Brain Nutrition is a project and brand of Eat2BeNice, a consortium of 18 European University Hospitals throughout the continent.

Partners:
You may log in here to our Intranet website with your authorized user name and password.