CClinicalTrials.gg
CompletedNCT03772964Updated Jan 11, 2023Results posted

Effects of Metformin in a Non-Diabetic Patient Population

A Phase 1/2 interventional study of MetFORMIN Hydrochloride ER and Placebo in Inflammatory Response, sponsored by Brian Zuckerbraun. Completed at 1 site in United States. Open to participants aged 55 Years to 85 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2023-01-11.

Sponsored by Brian Zuckerbraun · Phase 1/2, Interventional, and Basic science

Phase
Phase 1/2
Study type
Interventional
Enrollment
32
Allocation
Randomized
Ages
55 Years to 85 Years
Sex
All
01

Study summary

Metformin has a well-established safety profile and it has become clear that metformin has additional salutary effects, including anti-inflammatory, anti-aging, and anti-thrombotic properties. In this study, subjects will provide both venous blood samples and stool samples in addition to completing cognitive and physiologic testing at baseline, throughout a 90 day exposure to metformin, and 30 days following exposure to metformin in order to evaluate their immune, microbiome, cellular respiration, thrombotic, and inflammatory responses.

Read the detailed description

Metformin is considered first-line therapy for patients with type two diabetes with hyperglycemia that cannot be controlled with lifestyle alone. Unlike other oral medications, metformin is favored for its insulin-sensitizing effects resulting in improved glycemic control, weight loss, and overall improvement of metabolic syndrome. Over the past fifteen years, metformin has received significant attention for its other potential therapeutic uses. Metformin has been found to decrease the rate of age-related illness progression improving longevity, especially in the setting of cancer. Recent clinical trials across multiple disease states have shown metformin to decrease all-cause mortality in diabetic and non-diabetic patients. Additionally, in both animal models and human trails, metformin has been shown to decrease the risk of arterial and venous thrombosis without affecting bleeding time through its interaction with platelet mitochondria. Although the mechanisms by which metformin effects longevity is an active area of both basic science and clinical research, it clearly has anti-inflammatory properties which are both independent and dependent of glycemic control. Recently, surgical outcomes have focused on optimizing older, deconditioned patients prior to the operation with varying protocols referred to as prehabilitation. These programs work to improve the body's response to the surgical stress resulting in improved wound healing, decreased postoperative complications, and decreased hospital length of stay. The affect of metformin, like increasing physical activity, has widespread affects on physiology. The investigators, therefore, hypothesize that metformin administration to non-diabetic adults will improve clinical outcomes to physiologic stress by improving underlying immune and inflammatory responses, that can be deleterious.

Subjects will have venous samples collected to better understand the cellular response to inflammation, thrombosis, and cellular respiration at baseline, at 4 time points throughout the 90 day exposure to metformin, and 30 days following the completion of exposure to metformin. At the same time points, subjects will have stool samples collected in order to assess changes in their microbiome. Finally, subjects will undergo cognitive testing through the NIH toolbox as well as physiologic testing including (six-minute walk test, grip strength as measured by a dynamometer, and a short physical performance battery) at baseline, after 90 days of exposure, and again 30 days after the completion of exposure.

02

Conditions studied

  • Inflammatory Response

Keywords

  • prefrail
  • non-diabetic
  • metformin
  • thrombosis
  • microbiome
  • cellular respiration
  • short physical performance batter
03

In context

Lead sponsor

This is the only study on the registry with Brian Zuckerbraun as lead sponsor.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
55 Years to 85 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  1. Age ≥55 and ≤85 years of age
  2. Non-diabetic
  3. Adjusted risk analysis index (RAI) 20-42
  4. Estimated glomerular filtration rate >45
  5. No evidence of hepatic dysfunction on comprehensive metabolic panel
  6. No clinical evidence of cardiac failure
  7. Existing University of Pittsburgh Medical Center Patients

Exclusion criteria

Exclusion Criteria:

  1. Hypersensitivity to metformin or any component of the formulation
  2. Acute or chronic metabolic acidosis with or without coma
  3. Pregnant or breastfeeding females
  4. Evidence or history of hepatic, renal, or cardiopulmonary failure
  5. Excessive acute or chronic ethanol use
  6. Planned or known hospital admission, exposure to anesthesia, or surgical intervention 30 days prior to study or scheduled 30 days after the trial initiation
  7. Laboratory analysis showing HbgA1c >6.1 or eGFR \<44 on baseline labs
05

Study design

Phase
Phase 1 / Phase 2
Primary purpose
Basic science
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Triple (Participant, Care provider, Investigator)
Enrollment
32 participants (actual)

Study arms

  • Experimental
    500mg exposure

    Subjects will be exposed to 500mg of daily MetFORMIN Hydrochloride ER for up to 90 days.

    Drug: MetFORMIN Hydrochloride ER

  • Experimental
    1000mg exposure

    Subjects will be exposed to 1000mg of daily MetFORMIN Hydrochloride ER for up to 90 days.

    Drug: MetFORMIN Hydrochloride ER

  • Experimental
    1500mg exposure

    Subjects will be exposed to 1500mg of daily MetFORMIN Hydrochloride ER for up to 90 days.

    Drug: MetFORMIN Hydrochloride ER

  • Placebo comparator
    Placebo

    Subjects will be exposed to placebo for up to 90 days.

    Drug: Placebo

Interventions

  • DrugMetFORMIN Hydrochloride ER

    Subjects will be exposed to 500mg, 1000mg, or 1500mg of daily ER Metformin, by mouth, for up to 90 days. Subjects will have their venous blood sampled and baseline, throughout the trial, and following completion of their metformin exposure.

    Also known as: Metformin ER

  • DrugPlacebo

    Subjects will be exposed to placebo, by mouth, for up to 90 days. Subjects will have their venous blood sampled and baseline, throughout the trial, and following completion of their metformin exposure.

06

What researchers measure

Primary outcomes

  1. Ex Vivo Cytokine Response of Peripheral Blood Mononucleocytes (PBMC) to Inflammatory Stimuli Compared to Baseline, Throughout Exposure, and Following Exposure to Metformin.

    Venous blood samples will be gathered throughout the study in order to quantify the changes in cytokine expression (FN-γ, IL-10, IL12p40, IL-12p70, IL-1α, IL1β, IL-2, IL-6, IL-8, IP-10, MCP-1, MIP-1α, MIP-1β, TNF-α) following ex vivo PBMC exposure to endotoxin.

    Time frame: Day 0 (baseline), 30, 60, 90, and 120 (30 days post metformin exposure)

Secondary outcomes

  1. Quantify the Bacterial Population Profile of the Microbiome Via Stool Samples.

    Bacterial communities using 16S rRNA sequencing in relationship to metformin dosing over time. Species richness or diversity in the sample is measured by Choa1 metric. Chao1 is an estimate of how many species are present in an ecosystem. In general, having more species is considered to be "healthier" and these values typically range from 100-200 for fecal samples. The Chao1 index over numerous samples across time are explored to understand treatment effects.

    Time frame: Day 0 (baseline), 30, 60, 90, and 120 (30 days post metformin exposure)

  2. Measure the Rate of Clotting of Peripheral Blood With Whole Blood Aggregometry in Response to Collagen.

    Aggregometry area under the curve with the Y-axis being % aggregometry and the X-axis time in minutes.

    Time frame: Day 0 (baseline), 30, 60, 90, and 120 (30 days post metformin exposure)

  3. Measure the Rate of Thrombosis of Peripheral Blood.

    The endpoints for isolated platelets include platelet activation as measured by FACS for CD62p.

    Time frame: Day 0 (baseline), 30, 60, 90, and 120 (30 days post metformin exposure)

  4. Changes From Baseline in Short Physical Performance Battery (SPPB) During and Following Exposure to Metformin.

    The SPPB is a group of measures that combines the results of the gait speed, chair stand and balance tests. The minimum is zero (worse performance) and the maximum is 12 (best performance).

    Time frame: Day 0 (baseline), 90, and 120 (30 days post metformin exposure)

  5. Changes From Baseline in Grip Strength Via a Dynamometer During and Following Exposure to Metformin.

    Grip strength over time.

    Time frame: Day 0 (baseline), 90, and 120 (30 days post metformin exposure)

  6. Mitochondrial Respiration in Both PBMCs and Platelets.

    Oxidative phosphorylation, respiration, and complex activity will be tested using an Oroboros respirometer.

    Time frame: Day 0 (baseline), 30, 60, 90, and 120 (30 days post metformin exposure)

  7. Mitochondrial Content in Both PBMCs and Platelets.

    Mitochondrial content will be measured by staining for mitotracker, and mitochondrial DNA oxidation will be determined by co-localizing staining for 8-hydroxydeoxyguanosine (8-OHdG). Markers of autophagy will be determined by measuring LC-3 flux, p62, beclin-1, and ATG7 protein levels.

    Time frame: Day 0 (baseline), 30, 60, 90, and 120 (30 days post metformin exposure)

  8. Measure Biogenesis of PBMCs.

    Biogenesis will be determined by measuring RNA for PGC1a, NRF-1, and Tfam.

    Time frame: Day 0 (baseline), 30, 60, 90, and 120 (30 days post metformin exposure)

07

Results

Posted Jan 11, 2023

Participant flow

Participant flow — Overall Study
Milestone500mg Exposure1000mg Exposure1500mg ExposurePlacebo
Started8888
Completed7888
Not completed1000

Outcome measures

PrimaryEx Vivo Cytokine Response of Peripheral Blood Mononucleocytes (PBMC) to Inflammatory Stimuli Compared to Baseline, Throughout Exposure, and Following Exposure to Metformin.

Venous blood samples will be gathered throughout the study in order to quantify the changes in cytokine expression (FN-γ, IL-10, IL12p40, IL-12p70, IL-1α, IL1β, IL-2, IL-6, IL-8, IP-10, MCP-1, MIP-1α, MIP-1β, TNF-α) following ex vivo PBMC exposure to endotoxin.

Time frame:
Day 0 (baseline), 30, 60, 90, and 120 (30 days post metformin exposure)

No measurements were reported for this outcome.

SecondaryQuantify the Bacterial Population Profile of the Microbiome Via Stool Samples.

Bacterial communities using 16S rRNA sequencing in relationship to metformin dosing over time. Species richness or diversity in the sample is measured by Choa1 metric. Chao1 is an estimate of how many species are present in an ecosystem. In general, having more species is considered to be "healthier" and these values typically range from 100-200 for fecal samples. The Chao1 index over numerous samples across time are explored to understand treatment effects.

Time frame:
Day 0 (baseline), 30, 60, 90, and 120 (30 days post metformin exposure)
Reported as:
Mean · Index
Quantify the Bacterial Population Profile of the Microbiome Via Stool Samples.
Index500mg Exposure1000mg Exposure1500mg ExposurePlacebo
Day 0136.5 ± 19.0107.6 ± 13.3128.1 ± 10.5141.5 ± 15
Day 30139.9 ± 16.2130.7 ± 19.4128.1 ± 13.2144.75 ± 13.2
Day 60121.4 ± 20.8137.9 ± 17.7128.6 ± 12.7134.3 ± 9.8
Day 90137.8 ± 27.8135 ± 18.9138.2 ± 10.3152 ± 20.5
Day 120134 ± 23.6142.2 ± 17.3144.2 ± 16.5159.2 ± 5.7
Statistical analysis
  • 500mg Exposure vs 1000mg Exposure vs 1500mg Exposure vs Placebo · ADONISBeta Diversity · p = <0.01 · R2: 0.071435R2 values estimate the amount of variation explained by each variable.
SecondaryMeasure the Rate of Clotting of Peripheral Blood With Whole Blood Aggregometry in Response to Collagen.

Aggregometry area under the curve with the Y-axis being % aggregometry and the X-axis time in minutes.

Time frame:
Day 0 (baseline), 30, 60, 90, and 120 (30 days post metformin exposure)
Reported as:
Mean · arbitrary units*mins
Measure the Rate of Clotting of Peripheral Blood With Whole Blood Aggregometry in Response to Collagen.
arbitrary units*mins500mg Exposure1000mg Exposure1500mg ExposurePlacebo
0 days56.3 ± 4067 ± 38196 ± 37683.3 ± 69
30 day change from day 0-34.7 ± 24.58.9 ± 50.1-166.7 ± 409-29.6 ± 104.8
60 days change from day 0-28.3 ± 54-23.5 ± 44.5-139.8 ± 376.3-49.4 ± 86.7
90 days change from day 01.6 ± 57.62.4 ± 84.5-222.5 ± 456.2-66.6 ± 102.6
120 days change from day 0-49.2 ± 84.21.0 ± 28.9-196.7 ± 410.6-47.6 ± 103.0
Statistical analysis
  • 500mg Exposure vs 1000mg Exposure vs 1500mg Exposure vs Placebo · ANOVA · p = 0.6057
SecondaryMeasure the Rate of Thrombosis of Peripheral Blood.

The endpoints for isolated platelets include platelet activation as measured by FACS for CD62p.

Time frame:
Day 0 (baseline), 30, 60, 90, and 120 (30 days post metformin exposure)

No measurements were reported for this outcome.

SecondaryChanges From Baseline in Short Physical Performance Battery (SPPB) During and Following Exposure to Metformin.

The SPPB is a group of measures that combines the results of the gait speed, chair stand and balance tests. The minimum is zero (worse performance) and the maximum is 12 (best performance).

Time frame:
Day 0 (baseline), 90, and 120 (30 days post metformin exposure)
Reported as:
Mean · Units on a scale
Changes From Baseline in Short Physical Performance Battery (SPPB) During and Following Exposure to Metformin.
Units on a scale500mg Exposure1000mg Exposure1500mg ExposurePlacebo
0d11.2 ± .910.8 ± 1.311.1 ± 0.910.6 ± 1.3
90d, change from 0d-0.3 ± 1.40.4 ± 0.70.4 ± 0.51.0 ± 1.0
120d, change from 0d0 ± 0.60.2 ± 1.00.3 ± 1.30.5 ± .8
Statistical analysis
  • 500mg Exposure vs 1000mg Exposure vs 1500mg Exposure vs Placebo · ANOVA · p = <0.001
SecondaryChanges From Baseline in Grip Strength Via a Dynamometer During and Following Exposure to Metformin.

Grip strength over time.

Time frame:
Day 0 (baseline), 90, and 120 (30 days post metformin exposure)
Reported as:
Mean · mmHg
Changes From Baseline in Grip Strength Via a Dynamometer During and Following Exposure to Metformin.
mmHg500mg Exposure1000mg Exposure1500mg ExposurePlacebo
0 days28.2 ± 10.328.9 ± 8.325.7 ± 7.825.7 ± 9.2
90 days, compared to 0 days-5.3 ± 12.5-0.4 ± 3.1-.2 ± 2.1-.3 ± 3.5
120 days, compared to 0 days.1 ± 4.81.1 ± 2.7.3 ± 3.0-.6 ± 2.0
Statistical analysis
  • 500mg Exposure vs 1000mg Exposure vs 1500mg Exposure vs Placebo · ANOVA · p = 0.69
SecondaryMitochondrial Respiration in Both PBMCs and Platelets.

Oxidative phosphorylation, respiration, and complex activity will be tested using an Oroboros respirometer.

Time frame:
Day 0 (baseline), 30, 60, 90, and 120 (30 days post metformin exposure)

No measurements were reported for this outcome.

SecondaryMitochondrial Content in Both PBMCs and Platelets.

Mitochondrial content will be measured by staining for mitotracker, and mitochondrial DNA oxidation will be determined by co-localizing staining for 8-hydroxydeoxyguanosine (8-OHdG). Markers of autophagy will be determined by measuring LC-3 flux, p62, beclin-1, and ATG7 protein levels.

Time frame:
Day 0 (baseline), 30, 60, 90, and 120 (30 days post metformin exposure)

No measurements were reported for this outcome.

SecondaryMeasure Biogenesis of PBMCs.

Biogenesis will be determined by measuring RNA for PGC1a, NRF-1, and Tfam.

Time frame:
Day 0 (baseline), 30, 60, 90, and 120 (30 days post metformin exposure)

No measurements were reported for this outcome.

Adverse events

Collected over Adverse events were monitored from the time of randomization for 120 days.. Non-serious events are listed at a 5% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
500mg Exposure0/8 (0%)0/8 (0%)5/8 (62.5%)
1000mg Exposure0/8 (0%)0/8 (0%)3/8 (37.5%)
1500mg Exposure0/8 (0%)0/8 (0%)6/8 (75%)
Placebo0/8 (0%)0/8 (0%)5/8 (62.5%)
Most frequent other events
Most frequent other events
Event500mg Exposure1000mg Exposure1500mg ExposurePlacebo
Gastrointestinal symptomsGastrointestinal disorders5/81/84/85/8
Upper respiratory infectionRespiratory, thoracic and mediastinal disorders0/82/82/82/8
Joint pain or fractureMusculoskeletal and connective tissue disorders2/80/82/82/8

Baseline characteristics

Age, Continuous
Age, Continuous(years)500mg Exposure1000mg Exposure1500mg ExposurePlaceboTotal
Mean68 ± 670 ± 671 ± 468 ± 670 ± 5.5
Sex: Female, Male
Sex: Female, Male(Participants)500mg Exposure1000mg Exposure1500mg ExposurePlaceboTotal
Female534517
Male354315
Race (NIH/OMB)
Race (NIH/OMB)(Participants)500mg Exposure1000mg Exposure1500mg ExposurePlaceboTotal
American Indian or Alaska Native00000
Asian00000
Native Hawaiian or Other Pacific Islander00000
Black or African American11103
White777829
More than one race00000
Unknown or Not Reported00000
08

Study locations

1 site
  • University of Pittsburgh Medical Center
    Pittsburgh, Pennsylvania 15209, United States
09

References and documents

Publications

  • Randriamboavonjy V, Mann WA, Elgheznawy A, Popp R, Rogowski P, Dornauf I, Drose S, Fleming I. Metformin reduces hyper-reactivity of platelets from patients with polycystic ovary syndrome by improving mitochondrial integrity. Thromb Haemost. 2015 Aug 31;114(3):569-78. doi: 10.1160/TH14-09-0797. Epub 2015 May 21. PubMed 25993908 ↗
  • Xin G, Wei Z, Ji C, Zheng H, Gu J, Ma L, Huang W, Morris-Natschke SL, Yeh JL, Zhang R, Qin C, Wen L, Xing Z, Cao Y, Xia Q, Lu Y, Li K, Niu H, Lee KH, Huang W. Metformin Uniquely Prevents Thrombosis by Inhibiting Platelet Activation and mtDNA Release. Sci Rep. 2016 Nov 2;6:36222. doi: 10.1038/srep36222. PubMed 27805009 ↗
  • Alazawi W, Pirmadjid N, Lahiri R, Bhattacharya S. Inflammatory and Immune Responses to Surgery and Their Clinical Impact. Ann Surg. 2016 Jul;264(1):73-80. doi: 10.1097/SLA.0000000000001691. PubMed 27275778 ↗
  • Kato M, Suzuki H, Murakami M, Akama M, Matsukawa S, Hashimoto Y. Elevated plasma levels of interleukin-6, interleukin-8, and granulocyte colony-stimulating factor during and after major abdominal surgery. J Clin Anesth. 1997 Jun;9(4):293-8. doi: 10.1016/s0952-8180(97)00006-8. PubMed 9195352 ↗
  • Lin E, Calvano SE, Lowry SF. Inflammatory cytokines and cell response in surgery. Surgery. 2000 Feb;127(2):117-26. doi: 10.1067/msy.2000.101584. PubMed 10686974 ↗
  • Jansson K, Redler B, Truedsson L, Magnuson A, Matthiessen P, Andersson M, Norgren L. Intraperitoneal cytokine response after major surgery: higher postoperative intraperitoneal versus systemic cytokine levels suggest the gastrointestinal tract as the major source of the postoperative inflammatory reaction. Am J Surg. 2004 Mar;187(3):372-7. doi: 10.1016/j.amjsurg.2003.12.019. PubMed 15006565 ↗
  • Whelan SP, Zuckerbraun BS. Mitochondrial signaling: forwards, backwards, and in between. Oxid Med Cell Longev. 2013;2013:351613. doi: 10.1155/2013/351613. Epub 2013 May 29. PubMed 23819011 ↗
  • Waltz P, Carchman EH, Young AC, Rao J, Rosengart MR, Kaczorowski D, Zuckerbraun BS. Lipopolysaccaride induces autophagic signaling in macrophages via a TLR4, heme oxygenase-1 dependent pathway. Autophagy. 2011 Mar;7(3):315-20. doi: 10.4161/auto.7.3.14044. PubMed 21307647 ↗
  • Keel M, Schregenberger N, Steckholzer U, Ungethum U, Kenney J, Trentz O, Ertel W. Endotoxin tolerance after severe injury and its regulatory mechanisms. J Trauma. 1996 Sep;41(3):430-7; discussion 437-8. doi: 10.1097/00005373-199609000-00008. PubMed 8810959 ↗
  • Loomba R, Lutchman G, Kleiner DE, Ricks M, Feld JJ, Borg BB, Modi A, Nagabhyru P, Sumner AE, Liang TJ, Hoofnagle JH. Clinical trial: pilot study of metformin for the treatment of non-alcoholic steatohepatitis. Aliment Pharmacol Ther. 2009 Jan;29(2):172-82. doi: 10.1111/j.1365-2036.2008.03869.x. Epub 2008 Oct 9. PubMed 18945255 ↗
  • Hou X, Song J, Li XN, Zhang L, Wang X, Chen L, Shen YH. Metformin reduces intracellular reactive oxygen species levels by upregulating expression of the antioxidant thioredoxin via the AMPK-FOXO3 pathway. Biochem Biophys Res Commun. 2010 May 28;396(2):199-205. doi: 10.1016/j.bbrc.2010.04.017. Epub 2010 Apr 14. PubMed 20398632 ↗
  • Harrison DE, Strong R, Sharp ZD, Nelson JF, Astle CM, Flurkey K, Nadon NL, Wilkinson JE, Frenkel K, Carter CS, Pahor M, Javors MA, Fernandez E, Miller RA. Rapamycin fed late in life extends lifespan in genetically heterogeneous mice. Nature. 2009 Jul 16;460(7253):392-5. doi: 10.1038/nature08221. Epub 2009 Jul 8. PubMed 19587680 ↗
  • Algire C, Moiseeva O, Deschenes-Simard X, Amrein L, Petruccelli L, Birman E, Viollet B, Ferbeyre G, Pollak MN. Metformin reduces endogenous reactive oxygen species and associated DNA damage. Cancer Prev Res (Phila). 2012 Apr;5(4):536-43. doi: 10.1158/1940-6207.CAPR-11-0536. Epub 2012 Jan 18. PubMed 22262811 ↗
  • Smith DL Jr, Elam CF Jr, Mattison JA, Lane MA, Roth GS, Ingram DK, Allison DB. Metformin supplementation and life span in Fischer-344 rats. J Gerontol A Biol Sci Med Sci. 2010 May;65(5):468-74. doi: 10.1093/gerona/glq033. Epub 2010 Mar 19. PubMed 20304770 ↗
  • Pernicova I, Korbonits M. Metformin--mode of action and clinical implications for diabetes and cancer. Nat Rev Endocrinol. 2014 Mar;10(3):143-56. doi: 10.1038/nrendo.2013.256. Epub 2014 Jan 7. PubMed 24393785 ↗

Study documents

  • Protocol and statistical analysis plan · May 18, 2019

Documents are hosted by the registry — open the source record to download them.

Individual participant data

Plan to share: No — There is no current plan to make individual participant data available to other researchers.

10

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jan 11, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT03772964
Lead sponsor
Brian Zuckerbraun
Responsible party
Brian Zuckerbraun (Chief, Division of General/Trauma and Acute Care Surgery, Professor of Surgery, University of Pittsburgh) — Sponsor-investigator
First posted
Dec 12, 2018
Start date
Jan 22, 2019
Primary completion
Mar 31, 2020
Completion
Mar 31, 2020
Results posted
Jan 11, 2023
Last update
Jan 11, 2023

Study contacts

Brian Zuckerbraun, MD
principal investigator · University of Pittsburgh

Oversight

Data monitoring committee
No
FDA-regulated drug
Yes
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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This study is completed, as verified in Dec 2022. You cannot join it, but the record below documents what was studied.

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