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Experimental biology · Peptide–amyloid interaction study

An unexpected result
changed the experiment.

Could LK11 protect cells—and what if the controls challenged that idea?

Experimental model: C2C12 mouse muscle cells · Insulin-derived amyloid material

01 / The hypothesis

Could LK11
protect the cells?

We wanted to test whether LK11, a short peptide, could protect cells from damage associated with amyloid fibres—protein molecules assembled into long aggregates. Our starting hypothesis was that LK11 might interfere with fibre growth.

We used insulin-derived amyloid material and C2C12 mouse muscle cells as an experimental model. The question was whether adding LK11 changed cell mortality in this culture system.

Working hypothesis · not a demonstrated mechanism

Insulin
aggregation
Growing
fibers
Cell
damage?

LK11 → proposed inhibition of fiber growth

Test the components separately before interpreting their combination.

02 / The measurement

From fluorescence
to a cell count.

We used two fluorescent stains to turn microscopy images into a comparison. Hoechst made cell nuclei visible in blue; propidium iodide (PI) marked cells with compromised membranes. We counted the cells with ImageJ, an image-analysis tool, and calculated the fraction positive for PI.

Experimental observationEnlarge ↗
Blue fluorescence marks cell nuclei, giving a count of the cells visible in this field. Hoechst alone does not distinguish living from dead cells.
Hoechst-labelled C2C12 cells. Blue fluorescence marks cell nuclei, giving a count of the cells visible in this field. Hoechst alone does not distinguish living from dead cells.
Experimental observationEnlarge ↗
The combined image shows blue nuclei and orange PI-positive nuclei. PI enters cells with compromised membranes; their fraction among all counted cells is our mortality readout.
Hoechst and propidium iodide. The combined image shows blue nuclei and orange PI-positive nuclei. PI enters cells with compromised membranes; their fraction among all counted cells is our mortality readout.
The cell-death readout
Mortality (%)=100×NPI-positiveNtotal

NPI-positive: counted membrane-compromised cells. Ntotal: all counted cells.

This readout measures membrane damage. Staining, image acquisition and separating clustered nuclei during counting affect the estimate; it does not tell us which molecular interaction caused that damage.

We compared insulin with and without aggregates, LK11 on its own, and their combination. The medium-and-buffer control established a baseline; testing each component separately let us distinguish an effect of LK11 from an effect of insulin.

The six conditions and what they isolate

Final concentrations for the initial comparison. µM means micromoles per litre.

Control
Medium and buffer; the comparison baseline.
Soluble insulin
63 µM insulin without added aggregates.
Soluble + aggregated insulin
63 µM soluble and 18 µM aggregated insulin.
Mixed insulin + LK11
The same insulin mixture with 25 µM LK11.
LK11 alone
25 µM LK11 without insulin.
Aggregated insulin
18 µM aggregated insulin without soluble insulin.

03 / The surprise

The strongest toxicity
came from LK11 alone.

The controls challenged our starting hypothesis. Cells exposed to LK11 alone showed the highest observed mortality, while the insulin-only conditions were much lower. Before asking whether LK11 protected cells, we needed to understand its own toxicity.

Adding insulin to LK11 was associated with lower mortality than LK11 alone. That raised a different question about their interaction.

Experimental observationEnlarge ↗
From left to right: control (Témoin), soluble insulin, soluble + aggregated insulin, that mixture + LK11, LK11 alone, and aggregated insulin. Height is mortality (%). LK11 alone gives the largest response. Error bars are shown, but their statistical definition is unknown, so they do not establish significance.
Six conditions, one unexpected result. From left to right: control (Témoin), soluble insulin, soluble + aggregated insulin, that mixture + LK11, LK11 alone, and aggregated insulin. Height is mortality (%). LK11 alone gives the largest response. Error bars are shown, but their statistical definition is unknown, so they do not establish significance.

04 / The investigation

Handling first.
Concentration next.

The unexpected result prompted two separate checks: whether the order of addition changed mortality, and how the response varied with LK11 concentration.

The same final concentration, a different exposure.

Adding LK11 before the medium produced much higher mortality than adding it afterwards. Both conditions had a final LK11 concentration of 25 µM.

Approximately 90% versus 16% mortality, estimated visually from the two bars.

Before dilution into the medium, cells may briefly encounter a higher local LK11 concentration. This could explain why preparation matters even when the final concentration is identical; that local exposure was not measured directly.

Experimental observationEnlarge ↗
The two bars compare LK11 added before or after the culture medium (DMEM). Both end at 25 µM LK11; the vertical axis is mortality (%). Adding LK11 before the medium gives the higher response. Error-bar definitions are unknown.
The order of addition matters. The two bars compare LK11 added before or after the culture medium (DMEM). Both end at 25 µM LK11; the vertical axis is mortality (%). Adding LK11 before the medium gives the higher response. Error-bar definitions are unknown.

A separate dose-response experiment.

We then examined concentration separately. Across the tested 0–25 µM range, mortality increased at higher LK11 concentrations. The two measurement series and their mean show the dose-related trend.

The initial controls, addition-order check and concentration series are separate experiments. Their preparation differed, so their values cannot be pooled into a single dose-response curve.

Experimental observationEnlarge ↗
Horizontal axis: LK11 concentration (µM). Vertical axis: mortality (%). Two measurement series, their mean and a fitted curve show increasing mortality at higher concentrations. The fit is descriptive within 0–25 µM; error-bar definitions are unknown.
LK11 concentration and cell death. Horizontal axis: LK11 concentration (µM). Vertical axis: mortality (%). Two measurement series, their mean and a fitted curve show increasing mortality at higher concentrations. The fit is descriptive within 0–25 µM; error-bar definitions are unknown.
How we summarised the concentration response
An empirical concentration–mortality fit
M(c)=0.0126c2+0.0847c+2.5273

c: LK11 concentration in µM, over the tested 0–25 µM range. M(c): fitted mortality (%).

The curve summarizes these observations. It is neither a biological law nor a validated toxicity threshold, and is not extrapolated beyond the tested range.

05 / The revised hypothesis

Could insulin reduce
LK11’s toxic effect?

The initial comparison suggested another direction: could insulin change LK11’s effect? In a follow-up experiment with 50 µM LK11, we varied the added soluble insulin. Mortality was lower with added insulin than with LK11 alone.

The result supports investigating an interaction. It does not establish how the molecules interact.

Insulin might bind LK11 or reduce how much of it remains available to affect cells. These are possible explanations to test; the mortality measurements alone do not establish binding or complete neutralisation.

Experimental observationEnlarge ↗
With 50 µM LK11, the horizontal axis varies added soluble insulin (µM) and the vertical axis shows mortality (%). Blue triangles and peach squares are the two series; green circles are their mean (Moyenne). They show lower mortality with added insulin than without it. The dotted curve is an empirical fit; the shaded band is a baseline, not a confidence interval. Neither establishes binding or a protective plateau; error-bar definitions are unknown.
Insulin in the presence of LK11. With 50 µM LK11, the horizontal axis varies added soluble insulin (µM) and the vertical axis shows mortality (%). Blue triangles and peach squares are the two series; green circles are their mean (Moyenne). They show lower mortality with added insulin than without it. The dotted curve is an empirical fit; the shaded band is a baseline, not a confidence interval. Neither establishes binding or a protective plateau; error-bar definitions are unknown.

06 / What changed

A revised question.
An unresolved mechanism.

We began by looking for protection from amyloid-associated damage. Testing the components separately redirected the work towards LK11 toxicity, the effect of preparation and a possible interaction with insulin. The controls changed the question we needed to ask.

The next step would be to control exposure during preparation and measure the interaction directly. These cell-culture results leave the molecular mechanism unresolved and do not establish a treatment or inhibition of fibre growth.

Supporting evidence: localisation and insulin controls

We also examined where labelled LK11 appeared and how cells responded to soluble, aggregated and combined insulin. These comparisons help interpret the mortality response, but do not identify a molecular mechanism.

Experimental observationEnlarge ↗
Panel A shows labelled LK11, B shows Hoechst-stained nuclei, and C overlays them. Their spatial relationship does not by itself establish binding, uptake or a cause of cell damage.
Where labelled LK11 appears. Panel A shows labelled LK11, B shows Hoechst-stained nuclei, and C overlays them. Their spatial relationship does not by itself establish binding, uptake or a cause of cell damage.
Experimental observationEnlarge ↗
Horizontal axis: insulin concentration (µM); vertical axis: mortality (%). Blue squares show soluble insulin; orange diamonds show aggregated insulin (HI means human insulin). The shaded region marks the baseline, not a confidence interval; proximity to it does not establish an absence of toxicity.
Soluble and aggregated insulin controls. Horizontal axis: insulin concentration (µM); vertical axis: mortality (%). Blue squares show soluble insulin; orange diamonds show aggregated insulin (HI means human insulin). The shaded region marks the baseline, not a confidence interval; proximity to it does not establish an absence of toxicity.
Experimental observationEnlarge ↗
Mortality (%) is plotted against total insulin concentration (µM), combining equal amounts of soluble and aggregated human insulin (HI). The line summarises the measurements; the shaded baseline is not a confidence interval. Statistical significance cannot be read from it.
Combined insulin controls. Mortality (%) is plotted against total insulin concentration (µM), combining equal amounts of soluble and aggregated human insulin (HI). The line summarises the measurements; the shaded baseline is not a confidence interval. Statistical significance cannot be read from it.

The team

Experimental Protocol Design · Colin Schotte, Julien Le Boulch, Maxime Raffort, Nathan Luneau.

Experimental observation

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The academic foundations

Where this work connects.

Biology & biotechnology
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