MétaCan
Menu
Back to cohort

Impact of Biofield Energy Treatment Based Test Formulation on Vital Organ Health Specific Biomarkers Using Cell Line Study

2019· article· en· W2957680027 on OpenAlexaboutno aff
Ariadne Esmene Afaganis, Mahendra Kumar Trivedi, Alice Branton, Dahryn Trivedi, Gopal Nayak, Mayank Gangwar, Snehasis Jana

Bibliographic record

VenueJournal of Tissue Repair and Regeneration · 2019
Typearticle
Languageen
FieldMedicine
TopicBiofield Effects and Biophysics
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePharmacologyCell cultureViability assayHepatic stellate cellCellInternal medicineBiochemistryChemistryBiologyGenetics

Abstract

fetched live from OpenAlex

Multiple organ dysfunction syndrome or failure is one of the major concerns against healthcare services in order to maintain the normal function. The present study aimed to explore the impact of the Biofield Energy Treated test formulation on the function of vital organs such as bones, heart, liver, lungs, and brain using standard activity parameters in specific cell-based assays. The test formulation and cells medium was divided into two parts, one untreated (UT) and other part received the Biofield Energy Treatment remotely by a renowned Biofield Energy Healer, Ariadne Esmene Afaganis, Canada and was labeled as the Biofield Treated (BT) test formulation/media. The test formulation was tested for cell viability, and the data suggested that the test formulation was found safe and non-toxic against all the cell lines. Cytoprotective activity among the experimental groups showed a significant improved activity by 94.4% at 1 µg/mL in untreated medium (UT-Med) + Biofield Treated Test Item (BT-TI) group in human cardiac fibroblasts cells (HCF) cells, while 84.4% at 10 µg/mL in BT-Med + BT-TI groups in human hepatoma cells (HepG2), and 124% increased cytoprotective action at 1 µg/mL in UT-Med + BT-TI group in adenocarcinomic human alveolar basal epithelial cells (A549) cells as compared with the untreated test group. ALP activity in MG-63 cells was significantly increased by 85.9% at 10 µg/mL in the UT-Med + BT-TI group, while in Ishikawa cells showed maximum increased ALP activity by 59.2% at 0.1 µg/mL in BT-Med + BT-TI groups as compared to the untreated group. The percent protection of HCF (heart) cells (decreased of LDH activity) was significantly increased by 53% and 40.5% at 1 and 10 µg/mL concentrations respectively, in UT-Med + BT-TI group, while BT-Med + UT-TI group showed increased protection by 68.5%, 70.7%, and 16.8% at 0.1, 1, and 10 µg/mL respectively, and 86.5%, 62.5%, and 34.2% improved cellular protection at 0.1, 1, and 10 µg/mL respectively, in BT-Med + BT-TI group as compared to the untreated test group. The percent protection of HepG2 (liver) cells (decreased of ALT activity) was reported by 33.5%, 63.2%, and 99.2% at 10 µg/mL in the UT-Med + BT-TI, BT-Med + UT-TI, and BT-Med + BT-TI groups, respectively compared to the untreated group. Cellular protection of A549 (lungs) cells (increased of SOD activity) in terms of percentage was increased by increased by 39.8% (at 10 µg/mL), 44% (at 25.5 µg/mL), and 59.7% (at 25.5 µg/mL) in the UT-Med + BT-TI, BT-Med + UT-TI, and BT-Med + BT-TI groups, respectively compared to untreated group. Serotonin level was significantly increased by 59.2% (at 0.1 µg/mL), 190.3% (at 0.1 µg/mL), and 201% (at 1 µg/mL) in the UT-Med + BT-TI, BT-Med + UT-TI, and BT-Med + BT-TI groups, respectively compared to untreated in human neuroblastoma cells (SH-SY5Y). However, the relative quantification (RQ) of vitamin D receptor (VDR) was significantly increased by 159.1% (at 50 µg/mL), 212.7% (at 1 µg/mL), and 278.3% (at 10 µg/mL) in the UT-Med + BT-TI, BT-Med + UT-TI, and BT-Med + BT-TI groups, respectively as compared to the untreated in MG-63 cells. Thus, the present data concluded that the overall multiple organ health using various standard biomarkers in specific cell lines were significantly improved with respect to health of bones, heart, liver, lungs, and brain after treatment with the Biofield Energy treated test formulation (The Trivedi Effect®). Thus, it can be used as a complementary and alternative therapy approach against many multiple organ disorders such as coronary artery disease, arrhythmias, congenital heart disease, cardiomyopathy, cirrhosis, liver cancer, hemochromatosis, asthma, chronic bronchitis, cystic fibrosis, osteoporosis, etc.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.314
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Tissue Repair and RegenerationSame topicBiofield Effects and BiophysicsFrench-language works237,207