2023
Peripheral signature of altered synaptic integrity in young onset cannabis use disorder: A proteomic study of circulating extracellular vesicles
Ganesh S, Lam T, Garcia-Milian R, D'Souza D, Nairn A, Elgert K, Eitan E, Ranganathan M. Peripheral signature of altered synaptic integrity in young onset cannabis use disorder: A proteomic study of circulating extracellular vesicles. The World Journal Of Biological Psychiatry 2023, 24: 603-613. PMID: 36994633, PMCID: PMC10471733, DOI: 10.1080/15622975.2023.2197039.Peer-Reviewed Original ResearchConceptsNeuron-derived extracellular vesiclesLabel-free quantification mass spectrometryProteomic studiesCannabis use disorderExtracellular vesiclesMass spectrometry proteomic analysisDifferential proteomic profilesAdapter proteinProteomic analysisPost-synaptic densityPeripheral signatureMolecular basisProteomic profilesProteinMarkers of neuropathologyBrain tissue samplesSynaptic pathologyVesiclesSynaptic integrityImmunoaffinity methodUse disordersFunctional integrityImportant insightsNeuropathologyPilot study
2022
Whole exome sequencing in dense families suggests genetic pleiotropy amongst Mendelian and complex neuropsychiatric syndromes
Ganesh S, Vemula A, Bhattacharjee S, Mathew K, Ithal D, Navin K, Nadella R, Viswanath B, Sullivan P, Jain S, Purushottam M. Whole exome sequencing in dense families suggests genetic pleiotropy amongst Mendelian and complex neuropsychiatric syndromes. Scientific Reports 2022, 12: 21128. PMID: 36476812, PMCID: PMC9729597, DOI: 10.1038/s41598-022-25664-7.Peer-Reviewed Original ResearchConceptsSequence kernel association testKernel association testWhole-exome sequencing studiesExome sequencing studiesUnique genesGenetic architectureCase-control association analysisDeleterious variantsSequencing studiesWhole-exome sequencingMendelian syndromesAssociation analysisCriteria of rarityPleiotropic influenceGenesWES studyFunctional consequencesSignificant overrepresentationGenetic pleiotropyExome sequencingAffected individualsFamilyImportant insightsUnrelated controlsAssociation Test
2020
Association of SLC1A1 Gene Polymorphism With Obsessive Compulsive Disorder in a Sample From Southern India
Shukla T, Nadella R, J. R, Ganesh S, Nestadt G, Purushottam M, Jain S, Reddy Y, Viswanath B. Association of SLC1A1 Gene Polymorphism With Obsessive Compulsive Disorder in a Sample From Southern India. Experimental And Clinical Psychopharmacology 2020, 28: 617-621. PMID: 31985241, DOI: 10.1037/pha0000348.Peer-Reviewed Original ResearchConceptsObsessive-compulsive disorderTreatment responseAge of onsetSRI treatment responseSignificant associationClinical parametersMini International Neuropsychiatric InterviewGenotype/allele frequenciesSymptom dimensionsSpecialty OCD clinicAdequate trialFull respondersNeuropsychiatric InterviewHealthy controlsBrain volumeGene polymorphismsOCD clinicDisease severityCase-control association analysisSymptom severityOCD patientsOCD casesGenotype frequenciesCompulsive disorderAssociationAdverse childhood experiences in families with multiple members diagnosed to have psychiatric illnesses
Someshwar A, Holla B, Pansari Agarwal P, Thomas A, Jose A, Joseph B, Raju B, Karle H, Muthukumaran M, Kodancha P, Kumar P, Reddy P, Kumar Nadella R, Naik S, Mitra S, Mallappagiri S, Sreeraj V, Balachander S, Ganesh S, Murthy P, Benegal V, Reddy J, Jain S, Mahadevan J, Viswanath B, Rao N, Narayanaswamy J, Sivakumar P, Kandasamy A, Kesavan M, Mehta U, Venkatasubramanian G, John J, Mukherjee O, Purushottam M, Kannan R, Mehta B, Kandavel T, Binukumar B, Saini J, Jayarajan D, Shyamsundar A, Moirangthem S, Vijay Kumar K, Thirthalli J, Chandra P, Gangadhar B, Panicker M, Bhalla U, Chattarji S, Varghese M, Raghu P, Rao M. Adverse childhood experiences in families with multiple members diagnosed to have psychiatric illnesses. Australian & New Zealand Journal Of Psychiatry 2020, 54: 1086-1094. PMID: 32538179, DOI: 10.1177/0004867420931157.Peer-Reviewed Original ResearchConceptsFirst-degree relativesAdverse childhood experience exposureMajor psychiatric conditionsAdverse childhood experiencesObsessive-compulsive disorderSeverity scorePsychiatric conditionsSubstance dependencePsychiatric illnessBipolar disorderAdverse Childhood Experiences International QuestionnaireRisk first-degree relativesChildhood experiencesCo-occurring diagnosesAge of onsetEarly ageInteraction of diagnosisOngoing longitudinal studyPsychiatric diagnosis
2019
Pellagra and Alcohol Dependence Syndrome: Findings From a Tertiary Care Addiction Treatment Centre in India
Narasimha V, Ganesh S, Reddy S, Shukla L, Mukherjee D, Kandasamy A, Chand P, Benegal V, Murthy P. Pellagra and Alcohol Dependence Syndrome: Findings From a Tertiary Care Addiction Treatment Centre in India. Alcohol And Alcoholism 2019, 54: 148-151. PMID: 30721993, DOI: 10.1093/alcalc/agz004.Peer-Reviewed Original ResearchConceptsAlcohol dependence syndromeAddiction treatment centersInpatient careHigh doseTreatment centersDependence syndromeLife-threatening comorbiditiesAcute medical conditionsDeficiency of niacinMulti-systemic diseaseMinority of casesTwo-thirdsPeripheral neuropathyClinical presentationParenteral vitaminDelirium tremensMultivitamin supplementsClassical triadComplete resolutionAssociated conditionMedical conditionsPrompt identificationHigh indexAlcohol dependenceComplete recovery
2018
Six months' course and outcome of metabolic abnormalities in a cohort of patients with schizophrenia in rural India
Bijjal S, Ganesh S, Rawat V, Agarwal V, Reddy K, Devi N, Kumar C, Christopher R, Thirthalli J. Six months' course and outcome of metabolic abnormalities in a cohort of patients with schizophrenia in rural India. Schizophrenia Research 2018, 201: 415-416. PMID: 29880456, DOI: 10.1016/j.schres.2018.05.016.Peer-Reviewed Original Research
2017
BDNF gene and obsessive compulsive disorder risk, symptom dimensions and treatment response
J R, Ganesh S, Shukla T, Deolankar S, Nadella R, Sen S, Purushottam M, Reddy Y, Jain S, Viswanath B. BDNF gene and obsessive compulsive disorder risk, symptom dimensions and treatment response. Asian Journal Of Psychiatry 2017, 38: 65-69. PMID: 29079096, DOI: 10.1016/j.ajp.2017.10.014.Peer-Reviewed Original ResearchPrevalence and predictors of metabolic syndrome in patients with schizophrenia and healthy controls: A study in rural South Indian population
Rawat V, Ganesh S, Bijjal S, Reddy K, Agarwal V, Devi R, Kumar C, Christopher R, Thirthalli J. Prevalence and predictors of metabolic syndrome in patients with schizophrenia and healthy controls: A study in rural South Indian population. Schizophrenia Research 2017, 192: 102-107. PMID: 28454923, DOI: 10.1016/j.schres.2017.04.039.Peer-Reviewed Original ResearchConceptsPredictors of MetSGeneral population controlsAntipsychotic exposureMetabolic syndromeOdds ratioFemale genderRural south Indian populationInternational Diabetes Federation criteriaDiagnosis of MetSSubgrouping of patientsPhysical activity patternsSouth Indian populationPopulation controlsFederation criteriaClinical parametersSouth IndiaTreatment detailsHealthy controlsIndependent riskLow prevalenceGeneral populationTreatment groupsPatientsSchizophrenia patientsControl group
2016
Prevalence and determinants of metabolic syndrome in patients with schizophrenia: A systematic review and meta-analysis of Indian studies
Ganesh S, Ashok A, Kumar C, Thirthalli J. Prevalence and determinants of metabolic syndrome in patients with schizophrenia: A systematic review and meta-analysis of Indian studies. Asian Journal Of Psychiatry 2016, 22: 86-92. PMID: 27520904, DOI: 10.1016/j.ajp.2016.05.006.Peer-Reviewed Original ResearchConceptsMetabolic syndromePooled prevalenceSchizophrenia patientsLow prevalenceSystematic reviewNCEP ATP III criteriaDeterminants of MetSDrug-naïve patientsCase-control designUnderstanding of prevalenceHospital studyHigh prevalenceHospital settingPrevalence ratesPatientsScience Direct databasesCommunity settingsSyndromePrevalenceLiterature searchIndian studiesHospitalSchizophreniaGoogle ScholarConflicting results