Quick number for context: I’m 18 months into tirz, down about 34 lbs, A1C from 9.1 to 6.2, and I track protein grams per meal in a spreadsheet. So when people ask why their body recomps differently on tirz vs sema, I have some data to work with. The piece most posts skip: tirz has a ~5-day half-life vs sema’s ~7 days. That shorter curve means you hit a sharper appetite valley in days 5-7 before your next injection. I started noticing this in my food logs around month 4 - protein intake reliably dropped on day 6-7 because I felt fine and wasn’t eating much. The problem is that’s exactly when muscle preservation is most vulnerable. What I actually changed: I set a floor of 30g protein at breakfast regardless of appetite, specifically on injection+4 through injection+6 days. Not because I was hungry. Just as a protocol rule. My CGM lines got flatter in the same window, which I think is downstream of keeping muscle mass and glycogen turnover more stable. The other thing nobody explains clearly: tirz has dual GIP/GLP-1 action. GIP receptors are expressed in adipose tissue, and some early data suggests GIP agonism may preferentially mobilize visceral fat over subq. I don’t have a way to confirm that with my Libre data alone, but I do notice my waistband changed faster than other areas relative to overall scale movement. That’s not placebo - that’s a measurement. If you’re tracking body comp changes and they feel uneven, check your protein logs by injection day, not just by week. The curve is not flat.
edit: clarifying
week 18 on sema, so i can’t speak to the tirz curve you’re mapping - but the injection day protocol totally hits different. i’ve been tracking protein + food noise scores in CareClinic, and yeah, my appetite shifts predictably around day 5-6. stacking those two metrics visually is what made the pattern obvious. the visceral vs subq observation really resonates with me. waistband moved noticeably before the scale budged around week 12, which at first i thought was just postpartum compensation finally catching up with me. are you seeing the 30g floor help with energy on those specific days, or is it purely about long-term recomp? fatigue’s been my bigger challenge than hunger, honestly, so i’m curious.
the injection day protein floor hits different. i don’t have glucose tracking like you do, but days 5-6 post-injection are when food noise goes completely quiet for me - easier to skip meals when you’re not hungry than when you’re fighting appetite. my jeans fit different in the waist before the scale moved, so something’s definitely recomping unevenly, but i can’t track it the way you’re tracking it. when you hit that protein floor on days 5-6, did your actual energy shift, or was it more about flattening out your cgm lines?
The fatigue question is actually more interesting to me than the hunger one, and I don’t have a clean answer. On those injection+5/6 days, my energy is fine, but I think that’s partly because I’m not skipping the protein floor. The honest answer is I can’t separate “30g breakfast improves energy” from “30g breakfast prevents the muscle breakdown that would have cost me energy three days later.” The mechanism is too slow to see in a single week. What I do notice: on the days I actually logged under 25g at breakfast during that window (usually when I was traveling and meal planning fell apart), my CGM line was flatter by midday but I also felt flatter. Correlation, not causation, but it’s consistent enough that I kept the protocol. Your waistband-before-scale observation at week 12 is not postpartum coincidence. I think it’s the same GIP receptor story playing out on a longer timeframe. The scale doesn’t know the difference between visceral and subq tissue, but your waistband does. One thing I’d track if fatigue is your main variable: protein grams on day 5-6 specifically, not just weekly average. The average hides the curve. The curve is where the answer probably lives.
yeah the weekly average hides the whole curve. even on sema’s longer timeline, days 5-6 hit different - just slower recovery window than tirz. week 18 and the day-by-day tracking is the only way it stops looking like random scale noise.
the 30g floor “not because I was hungry, just as a protocol rule” is basically what it took for me to stop letting suppression eat my protein margin too. injection+4 through +6 is exactly the window I target now. where I’d push back is the CGM flattening as evidence of preserved muscle mass specifically - glycogen turnover and glucose stability respond to total caloric intake, hydration, sleep, stress, and a half-dozen other things, so the flatter lines are suggestive but not a clean signal pointing at muscle. the GIP/visceral fat hypothesis is the part I find most interesting, and I’ve noticed the same waistband-vs-scale divergence you’re describing, but the data I’ve seen on GIP adipose selectivity is small and a chunk of it’s manufacturer-adjacent, which makes me want to hold it as association rather than mechanism until something bigger replicates it. I actually track injection day against fasting glucose in CareClinic and the dark mode chart palette at night is what finally made that day-5-to-7 dip legible without squinting at it.