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Record W2900132387 · doi:10.51910/ijhdr.v17i2.918

Viscum album homeopathic tinctures: phytochemical profile and antiproliferative activity

2021· article· en· W2900132387 on OpenAlexaff
Michelle Nonato de Oliveira Melo, João Vitor da Costa Batista, Venício Féo da Veiga, Adriana Passos Oliveira, Cassiana Santos De Oliveira, Mirio Grazi, Hartmut Ramm, Claudia Torre, Gerhard Schäller, Claudia Scherr, Maria Olga Kokornaczyk, Konrad Urech, Ulrike Weissenstein, Stephan Baumgartner

Bibliographic record

VenueInternational Journal of High Dilution Research - ISSN 1982-6206 · 2021
Typearticle
Languageen
FieldImmunology and Microbiology
TopicToxin Mechanisms and Immunotoxins
Canadian institutionsCancer Research Society
Fundersnot available
KeywordsViscum albumPhytochemicalTraditional medicineLoranthaceaeBotanyBiologyChemistryMedicine

Abstract

fetched live from OpenAlex

Background: The mistletoe Viscum album L. (Santalaceae) is a semi-parasitic plant that grows on different host trees. Although V. album antitumor activity is mainly associated with aqueous preparations, recently we showed antitumoral effects of homeopathic V. album tinctures containing also the ethanolic soluble compounds [1]. Aims: to analyze the phytochemical profile of different Viscum album homeopathic tinctures as well as their in vitro effects in tumoral cells. Methodology: The Viscum album samples (leaves, stems and berries) were collected in 2016 and 2017 (summer), and in 2018 (winter) at different locations in Switzerland. After harvest, they were immediately submitted to ethanolic extraction (45% V/V) using homeopathic methodology [2, 3]. The following mother tinctures (MT) were prepared: V. album ssp. album growing on Malus domestica, Quercus sp. and Ulmus sp., V. album ssp. austriacum from Pinus sylvestris, and V. album ssp. abietis from Abies alba. The homeopathic dynamizations (1-3dH; 6, 12, 30dH) were prepared with the respective MT. The phytochemical profiles were analysed by High Performance Liquid Chromatography tandem Mass Spectroscopy, HPLC and Thin Layer Chromatography. MT prepared in 2016 were also submitted to the Pfeiffer’s circular chromatography (PCC) [4]. The proliferation assay was performed by WST-1 [5] after incubation of tumoral cells (Yoshida and Molt-4) with non-dynamized (0.5 to 0.05% v/v) and dynamized MT. Apoptosis/necrosis was measured by flow cytometer (FACS) using Annexin V-FITC [5], and the cellular morphological aspects were analysed by light microscope. Results and Discussion: The chemical analyses of MT identified the presence of phenolic acids, flavonoids, lignans, as principal compounds. Besides, the HPLC indicated higher viscotoxin concentration in the summer harvest of Abies alba, Malus domestica and Quercus (897, 475, 219 ?g/mL), respectively. The PCC methodology permitted the MT differentiation. The higher levels of cellular mortality were attribute to Abies alba, Malus domestica and Quercus (p

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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.025
GPT teacher head0.341
Teacher spread0.316 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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