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Biomedical subjects

Mangalathu Rajeevan

Publications and source records attributed to Mangalathu Rajeevan.

4 recordsLinked to original sources

Challenges for molecular profiling of chronic fatigue syndrome.

Chronic fatigue syndrome (CFS) is prevalent, disabling and costly. Despite extensive literature describing the epidemiology and clinical aspects of CFS, it has been recalcitrant to diagnostic biomarker discovery and therapeutic intervention. This is due to the fact that CFS is a complex illness defined by self-reported symptoms and diagnosed by the exclusion of medical and psychiatric diseases that may explain the symptoms. Studies attempting to dissect the pathophysiology are challenging to design as CFS affects multiple body systems, making the choice of which system to study dependent on an investigators area of expertise. However, the peripheral blood appears to be facilitating the molecular profiling of several diseases, such as CFS, that involve bodywide perturbations that are mediated by the CNS. Successful molecular profiling of CFS will require the integration of genetic, genomic and proteomic data with environmental and behavioral data to define the heterogeneity in order to optimize intervention.

Animals↗

Correlation of psycho-neuroendocrine-immune (PNI) gene expression with symptoms of acute infectious mononucleosis.

Acute infection is known to perturb psycho-neuroendocrine-immune (PNI) gene expression. Oligonucleotide microarrays were used to examine PNI gene expression in the peripheral blood of 13 subjects with infectious mononucleosis (IM). Novel peripheral blood gene expression activity was correlated with central-nervous-system-mediated symptoms including fatigue and sleep disturbance. Of note, expression of the MADS box transcription enhancer factor 2 polypeptide C (MEF2C) gene, previously implicated in skeletal muscle myogenesis, correlated with symptoms of musculo-skeletal pain and fatigue. Expression of the hypocretin/orexin receptor HCRTR2, which has been implicated in narcolepsy, correlated with sleep disturbance. And, VACHT, the vesicular acetylcholine transporter, was highly correlated with neurocognitive disturbance. The expression of both HCRTR2 and MEF2C in the peripheral blood was validated by reverse transcription PCR. Thus, investigation of the PNI response in peripheral blood may provide novel insights into the complex pathophysiology of centrally mediated disease states.

Adolescent↗

Human papillomavirus type 16 E2 and E6/E7 variants.

OBJECTIVES: Polymorphisms in human papillomavirus (HPV) type 16 have been shown to be related to geographic areas and are broadly classified as European (E), African (Af), Asian (As), or Asian-American (AA). Certain variants have been reported as being more likely to cause cervical disease; our objectives were to identify new HPV16 polymorphisms, to determine the linkage of the E2 and E6/E7 regions and to determine the minimum sequence necessary to classify variants. METHODS: We sequenced the complete E2, E6, and E7 regions in all HPV16-positive cervical samples identified in a case-control study of pre-invasive cervical disease. RESULTS: In the 100 samples analyzed, only one new polymorphism was identified, a synonymous change, T3205A, in region E2. The frequency distribution of variants in the sample set was 37 European prototypes and 27 E-G350, 16 AA, 5 Af1, 2 Af2, 8 E-C109G, 3 E-G131G, and 2 As. As shown by others, region E7 varied much less than E6 and E2. CONCLUSIONS: In each case, E2 changes were linked to the expected E6/E7 changes, and there was no evidence for recombination. The linkage between E2 and E6/E7 allows variant classification to be based on a short E6 sequence (nt 109-350).

Base Sequence↗

Utility of the blood for gene expression profiling and biomarker discovery in chronic fatigue syndrome.

Chronic fatigue syndrome (CFS) is a debilitating illness lacking consistent anatomic lesions and eluding conventional laboratory diagnosis. Demonstration of the utility of the blood for gene expression profiling and biomarker discovery would have implications into the pathophysiology of CFS. The objective of this study was to determine if gene expression profiles of peripheral blood mononuclear cells (PMBCs) could distinguish between subjects with CFS and healthy controls. Total RNA from PBMCs of five CFS cases and seventeen controls was labeled and hybridized to 1764 genes on filter arrays. Gene intensity values were analyzed by various classification algorithms and nonparametric statistical methods. The classification algorithms grouped the majority of the CFS cases together, and distinguished them from the healthy controls. Eight genes were differentially expressed in both an age-matched case-control analysis and when comparing all CFS cases to all controls. Several of the differentially expressed genes are associated with immunologic functions (e.g., CMRF35 antigen, IL-8, HD protein) and implicate immune dysfunction in the pathophysiology of CFS. These results successfully demonstrate the utility of the blood for gene expression profiling to distinguish subjects with CFS from healthy controls and for identifying genes that could serve as CFS biomarkers.

Adult↗