Multiple myeloma with unexplained isolated anaemia in a 24year old man- a case report

Background: Multiple myeloma (MM) is a disease of the elderly with a median age at presentation of 70 years. It is rare to diagnose MM in individuals less than 40 years and even extremely rare in those less than 30 years of age. MM is usually suspected in those aged 50 years and above having a combination of hypercalcemia, renal insufficiency, anaemia and bone lesions. Although anaemia is a common clinical feature of MM, it is very rare that anaemia would be the only clinical presentation, hence the need to report this index case. Case Presentation: We present a rare case of MM in a 24-year- old male who presented with only symptomatic anaemia.Investigations for the cause of anaemia, including Bone marrow aspiration cytology revealed a diagnosis of MM ISS stage II.Here, we highlighted the need to seek early haematologist consultation in investigating patients’ whose cause of anaemia is notimmediately obvious from the clinical presentation and routine laboratory investigations. Conclusion: MM can present at a younger age with unexplained anaemia without bone pains or renal insufficiency. High level of suspicion for MM is required in young patients with unexplained anaemia Keywords: Multiple myeloma; isolated anaemia; young patient

Affinity proteomics reveals elevated muscle proteins in plasma of children with cerebral malaria

Systemic inflammation and sequestration of parasitized erythrocytes are central processes in the pathophysiology of severe Plasmodium falciparum childhood malaria. However, it is still not understood why some children are more at risks to develop malaria complications than others. To identify human proteins in plasma related to childhood malaria syndromes, multiplex antibody suspension bead arrays were employed. Out of the 1,015 proteins analyzed in plasma from more than 700 children, 41 differed between malaria infected children and community controls, whereas 13 discriminated uncomplicated malaria from severe malaria syndromes. Markers of oxidative stress were found related to severe malaria anemia while markers of endothelial activation, platelet adhesion and muscular damage were identified in relation to children with cerebral malaria. These findings suggest the presence of generalized vascular inflammation, vascular wall modulations, activation of endothelium and unbalanced glucose metabolism in severe malaria. The increased levels of specific muscle proteins in plasma implicate potential muscle damage and microvasculature lesions during the course of cerebral malaria

Severe childhood malaria syndromes defined by plasma proteome profiles

BACKGROUND Cerebral malaria (CM) and severe malarial anemia (SMA) are the most serious life-threatening clinical syndromes of Plasmodium falciparum infection in childhood. Therefore it is important to understand the pathology underlying the development of CM and SMA, as opposed to uncomplicated malaria (UM). Different host responses to infection are likely to be reflected in plasma proteome-patterns that associate with clinical status and therefore provide indicators of the pathogenesis of these syndromes. METHODS AND FINDINGS Plasma and comprehensive clinical data for discovery and validation cohorts were obtained as part of a prospective case-control study of severe childhood malaria at the main tertiary hospital of the city of Ibadan, an urban and densely populated holoendemic malaria area in Nigeria. A total of 946 children participated in this study. Plasma was subjected to high-throughput proteomic profiling. Statistical pattern-recognition methods were used to find proteome-patterns that defined disease groups. Plasma proteome-patterns accurately distinguished children with CM and with SMA from those with UM, and from healthy or severely ill malaria-negative children. CONCLUSIONS We report that an accurate definition of the major childhood malaria syndromes can be achieved using plasma proteome-patterns. Our proteomic data can be exploited to understand the pathogenesis of the different childhood severe malaria syndromes

Circulatory hepcidin is associated with the anti-inflammatory response but not with iron or anemic status in childhood malaria

Cerebral malaria (CM) and severe malarial anemia (SMA) are the most serious life-threatening clinical syndromes of Plasmodium falciparum infection in childhood. Therefore, it is important to understand the pathology underlying the development of CM and SMA as opposed to uncomplicated malaria (UM). Increased levels of hepcidin have been associated with UM, but its level and role in severe malarial disease remains to be investigated. Plasma and clinical data were obtained as part of a prospective case-control study of severe childhood malaria at the main tertiary hospital of the city of Ibadan, Nigeria. Here, we report that hepcidin levels are lower in children with SMA or CM than in those with milder outcome (UM). While different profiles of pro- and anti-inflammatory cytokines were observed between the malaria syndromes, circulatory hepcidin levels remained associated with the levels of its regulatory cytokine interleukin-6 and of the anti-inflammatory cytokine inerleukin-10, irrespective of iron status, anemic status, and general acute-phase response. We propose a role for hepcidin in anti-inflammatory processes in childhood malaria

Visualization of community control (CC, non-parasitaemic) children <i>versus</i> other study groups.

<p>Each sphere represents an individual child proteome profile plotted in 3D space defined by the first three principal components. CM = Cerebral Malaria (red); SMA = Severe Malarial Anemia (purple); UM = Uncomplicated Malaria (yellow); DC = Disease Controls (blue); CC = Community Controls (green). (a.) CC vs. CM; (b.) CC vs. SMA; (c.) CC vs UM and (d.) CC vs. DC.</p

Discriminatory performance of proteome profiles across study groups in ROC space.

<p>CM = Cerebral Malaria; SMA = Severe Malarial Anemia; UM = Uncomplicated Malaria; DC = Disease Controls; CC = Community Controls. (a.) Discriminatory performance in ROC space of predictive models built with relevant m/z clusters using the discovery cohort data. Error bars indicate +/− standard deviations obtained by 100 train/test randomizations of the data. (b.) Discriminatory performance in ROC space of the best predictive model from (a.) when applied to the validation cohort data.</p

Visualization of (a-c) disease control (DC, non-parasitemic) children <i>versus</i> parasitemic children groups; (d-f) among CM, SMA and UM parasitaemic children groups.

<p>Each sphere represents an individual child proteome profile plotted in 3D space defined by the first three principal components. CM = Cerebral Malaria (red); SMA = Severe Malarial Anemia (purple); UM = Uncomplicated Malaria (yellow); DC = Disease Controls (blue). (a.) DC vs. CM; (b.) DC vs. SMA; (c.) DC vs. UM; (d.) CM vs. SMA; (e.) CM vs. UM and (f.) SMA vs. UM.</p

Discriminatory accuracy of proteome profiles across six anionic plasma fractions (f1 to f6) among CM, SMA and UM (all parasitemic) groups of children.

<p>CM = Cerebral Malaria; SMA = Severe Malarial Anemia; UM = Uncomplicated Malaria. f1 to f6 represent anionic plasma fractions at pH 9.0 (f1), pH 7.0 (f2), pH 5.0 (f3), pH 4.0 (f4), pH 3.0 (f5) and organic phase (f6). In brackets are shown the number of relevant m/z clusters that make up the discriminatory proteome profile. (a.) CM vs. SMA; (b.) CM vs. UM; (c.) SMA vs. UM.</p