Hemoglobins emerging roles in mental disorders. Metabolical, genetical and immunological aspects

Altinöz, Meriç A.; Ince, Bahri

doi:10.1016/j.ijdevneu.2017.06.007

Cited by 14 publications

(11 citation statements)

References 142 publications

(209 reference statements)

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“…[14] In addition, recent studies suggest that hemoglobins are expressed in brain with emerging roles in mental disorders. [15] Our results can also suggest that OUD patients have different hemoglobin variants, with higher level of minor hemoglobin A2 (HbA2, tetramer of α2 and δ2 chains) than the healthy group. These results suggest for future studies on hemoglobins that may make progress or development easier to discover novel pathogenesis mechanisms in addiction disorders.…”

supporting

confidence: 51%

“…Free hemoglobin protein is susceptible to plasma proteases and partial degradation of its polypeptide (alpha, beta, and delta) resulting in the release of opioid active fragments, the hemorphins . In addition, recent studies suggest that hemoglobins are expressed in brain with emerging roles in mental disorders . Our results can also suggest that OUD patients have different hemoglobin variants, with higher level of minor hemoglobin A2 (HbA2, tetramer of α2 and δ2 chains) than the healthy group.…”

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confidence: 99%

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Evolving Magnetically Levitated Plasma Proteins Detects Opioid Use Disorder as a Model Disease

Ashkarran

Olfatbakhsh

Ramezankhani

et al. 2020

Adv Healthcare Materials

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There are several methods (e.g., enzyme‐linked immunosorbent assay and liquid chromatography mass spectroscopy) that already use human plasma to detect a variety of possible diseases. However, this paper introduces the capabilities of magnetic levitation (Maglev) to detect disease (Opioid Use Disorder, used here as a model disease) by using levitation of human plasma proteins. The presented proof‐of‐concept findings revealed that the optical images of magnetically levitated plasma proteins carry important information about the health spectrum of plasma donors. In addition, the liquid chromatography mass spectroscopy analysis of the magnetically levitated plasma proteins demonstrated remarkable differences between the plasma of healthy individuals and patients with opioid use disorders. Overall, the presented method provides diagnostic value for disease detection using optical images of evolving magnetically levitated plasma proteins and/or proteomic information.

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supporting

confidence: 51%

mentioning

confidence: 99%

Evolving Magnetically Levitated Plasma Proteins Detects Opioid Use Disorder as a Model Disease

Ashkarran

Olfatbakhsh

Ramezankhani

et al. 2020

Adv Healthcare Materials

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“…Since the first suggestion of a potential role of heterozygous thalassaemias in psychiatric disorders, various potential mechanisms have been hypothesised. Altinoz and Ince [ 42 ] have recently reviewed the emerging roles of haemoglobins in mental disorders, discussing thoroughly metabolical, genetical, and immunological aspects. We also suggest that increased concentrations of unconjugated hyperbilirubinemia are included, as these may be a shared characteristic of heterozygous thalassaemias, G6PD deficiency, and Gilbert’s syndrome.…”

Section: Discussionmentioning

confidence: 99%

Microcytic Anaemia as Susceptibility Factors in Bipolar Spectrum Disorders: Review of the Literature, Replication Survey, and Co-Segregation within Families

Bocchetta¹,

Chillotti²,

Ardau³

et al. 2021

CPEMH

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Background: Potential interactions between mood disorders and microcytic anaemias have been suggested by case reports, surveys of haematological parameters in psychiatric populations, and surveys of psychiatric morbidity in thalassaemic carriers. Objectives: a) To review published studies. b) To study the prevalence of microcytic anaemia in a sample of Sardinian outpatients with recurrent mood disorders. c) To check whether mood disorders and microcytic anaemia co-segregate within families. Methods: We extracted data on blood count and serum iron concentrations from the records of patients admitted between January 1st, 2001 and December 31st, 2016, to our clinic for mood disorders. Moreover, we studied siblings of subjects with both major mood disorders (according to Research Diagnostic Criteria) and heterozygous thalassaemia (according to Mean Corpuscular Volume, serum iron, and haemoglobin A2 concentrations). Siblings affected with a major mood disorder were examined for haematological concordance with the proband (reduced MCV and/or increased HbA2 in case of heterozygous β-thalassaemia, or presence of gene deletions in case of α-thalassaemia). Results: Microcytic anaemia was highly prevalent (81/337 = 24.0%) among outpatients with mood disorders. Starting from 30 probands with heterozygous ß-thalassaemia, concordance for reduced MCV and/or increased HbA2 was found in 78% (35/45) of affected siblings. Starting from 3 probands with heterozygous α-thalassaemia, only one of the 5 affected siblings carried four α-globin functional genes. Conclusion: Based on the review of the literature, the high prevalence of microcytic anaemia in outpatients, and the concordance between affected siblings, we can conclude that a role of heterozygous thalassaemias is highly probable. Future studies are required to establish the relevance of heterozygous thalassaemias and evaluate the magnitude of the effect, possibly using a molecular diagnosis also in the case of heterozygous β-thalassaemia.

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“…The role of genes of the haemoglobin family is to transport oxygen throughout the body via red blood cells; alterations in these genes could prohibit a sufficient amount of oxygen from entering the brain, which is a cause known to increase the risk of SCZ in adults 35 . The emerging role of haemoglobins, as a potentially novel mechanism underlying mental disorders, was discussed by Altinoz & Ince 36 .…”

Section: Discussionmentioning

confidence: 99%

Predicting novel genomic regions linked to genetic disorders using GWAS and chromosome conformation data – a case study of schizophrenia

Buxton

Batten

Crofts

et al. 2019

Sci Rep

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Genome-wide association studies identified numerous loci harbouring single nucleotide polymorphisms (SNPs) associated with various human diseases, although the causal role of many of them remains unknown. In this paper, we postulate that co-location and shared biological function of novel genes with genes known to associate with a specific phenotype make them potential candidates linked to the same phenotype (“guilt-by-proxy”). We propose a novel network-based approach for predicting candidate genes/genomic regions utilising the knowledge of the 3D architecture of the human genome and GWAS data. As a case study we used a well-studied polygenic disorder ‒ schizophrenia ‒ for which we compiled a comprehensive dataset of SNPs. Our approach revealed 634 novel regions covering ~398 Mb of the human genome and harbouring ~9000 genes. Using various network measures and enrichment analysis, we identified subsets of genes and investigated the plausibility of these genes/regions having an association with schizophrenia using literature search and bioinformatics resources. We identified several genes/regions with previously reported associations with schizophrenia, thus providing proof-of-concept, as well as novel candidates with no prior known associations. This approach has the potential to identify novel genes/genomic regions linked to other polygenic disorders and provide means of aggregating genes/SNPs for further investigation.

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Hemoglobins emerging roles in mental disorders. Metabolical, genetical and immunological aspects

Cited by 14 publications

References 142 publications

Evolving Magnetically Levitated Plasma Proteins Detects Opioid Use Disorder as a Model Disease

Evolving Magnetically Levitated Plasma Proteins Detects Opioid Use Disorder as a Model Disease

Microcytic Anaemia as Susceptibility Factors in Bipolar Spectrum Disorders: Review of the Literature, Replication Survey, and Co-Segregation within Families

Predicting novel genomic regions linked to genetic disorders using GWAS and chromosome conformation data – a case study of schizophrenia

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