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Analysis of the adiponectin paradox in healthy older people

Walowski, Carina,Herpich, Catrin,Enderle, Janna,Braun, Wiebke,Both, Marcus,Hasler, Mario,Müller, Manfred J,Norman, Kristina,Bosy-Westphal, Anja

Abstract

Background It remains unknown why adiponectin levels are associated with poor physical functioning, skeletal muscle mass and increased mortality in older populations. Methods In 190 healthy adults (59-86 years, BMI 17-37 kg/m2 , 56.8% female), whole body skeletal muscle mass (normalized by height, SMI, kg/m2 ), muscle and liver fat were determined by magnetic resonance imaging. Bone mineral content (BMC) and density (BMD) were assessed by dual X-ray absorptiometry (n = 135). Levels of insulin-like growth factor 1 (IGF-1), insulin, inflammation markers, leptin and fibroblast growth factor 21 were measured as potential determinants of the relationship between adiponectin and body composition. Results Higher adiponectin levels were associated with a lower SMI (r = -0.23, P < 0.01), BMC (r = -0.17, P < 0.05) and liver fat (r = -0.20, P < 0.05) in the total population and with higher muscle fat in women (r = 0.27, P < 0.01). By contrast, IGF-1 showed positive correlations with SMI (r = 0.33), BMD (r = 0.37) and BMC (r = 0.33) (all P < 0.01) and a negative correlation with muscle fat (r = -0.17, P < 0.05). IGF-1 was negatively associated with age (r = -0.21, P < 0.01) and with adiponectin (r = -0.15, P < 0.05). Stepwise regression analyses revealed that IGF-1, insulin and leptin explained 18% of the variance in SMI, and IGF-1, leptin and age explained 16% of the variance in BMC, whereas adiponectin did not contribute to these models. Conclusions Associations between higher adiponectin levels and lower muscle or bone mass in healthy older adults may be explained by a decrease in IGF-1 with increasing adiponectin levels.

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Analysis o he adiponec in pa adox in heal hy olde people Ca ina O. Walowski 1 , Ca in He pich 2,3,4 , Janna Ende le 1 , Wiebke B aun 1 , Ma cus Bo h 5 , Ma io Hasle 6 , Man ed J. Mülle 1 , K is ina No man 2,3,4,7 & Anja Bosy-Wes phal 1 * 1 Ins i u e o Human Nu i ion and Food Science, Ch is ian-Alb ech s-Uni e si y, Kiel, Ge many; 2 Ins i u e o Nu i ional Science, Uni e si y o Po sdam, Nu he al, Ge many; 3 Depa men o Ge ia ics and Medical Ge on ology, Cha i é Uni e si ä smedizin Be lin, Co po a e membe o F eie Uni e si ä Be lin and Humbold -Uni e si ä zu Be lin, Be lin, Ge many; 4 Depa men o Nu i ion and Ge on ology, Ge man Ins i u e o Human Nu i ion, Po sdam-Rehb ücke, Nu he al, Ge many; 5 Depa men o Radiology and Neu o adiology, Uni e si y Medical Cen e Schleswig-Hols ein, Kiel, Ge many; 6 Applied S a is ics, Facul y o Ag icul u al and Nu i ional Sciences, Ch is ian-Alb ech s- Uni e si y, Kiel, Ge many; 7 Ge man Cen e o Ca dio ascula Resea ch (DZHK), Pa ne Si e Be lin, Be lin, Ge many Abs ac Backg ound I emains unknown why adiponec in le els a e associa ed wi h poo physical unc ioning, skele al muscle mass and inc eased mo ali y in olde popula ions. Me hods In 190 heal hy adul s (59–86 yea s, BMI 17–37 kg/m 2 , 56.8% emale), whole body skele al muscle mass (no malized by heigh , SMI, kg/m 2 ), muscle and li e a we e de e mined by magne ic esonance imaging. Bone min- e al con en (BMC) and densi y (BMD) we e assessed by dual X- ay abso p iome y (n= 135). Le els o insulin-like g ow h ac o 1 (IGF-1), insulin, inflamma ion ma ke s, lep in and fib oblas g ow h ac o 21 we e measu ed as po en- ial de e minan s o he ela ionship be ween adiponec in and body composi ion. Resul s Highe adiponec in le els we e associa ed wi h a lowe SMI ( =0.23, P<0.01), BMC ( =0.17, P<0.05) and li e a ( =0.20, P<0.05) in he o al popula ion and wi h highe muscle a in women ( = 0.27, P<0.01). By con as , IGF-1 showed posi i e co ela ions wi h SMI ( = 0.33), BMD ( = 0.37) and BMC ( = 0.33) (all P<0.01) and a nega i e co ela ion wi h muscle a ( =0.17, P<0.05). IGF-1 was nega i ely associa ed wi h age ( =0.21, P<0.01) and wi h adiponec in ( =0.15, P<0.05). S epwise eg ession analyses e ealed ha IGF-1, insulin and lep in explained 18% o he a iance in SMI, and IGF-1, lep in and age explained 16% o he a iance in BMC, whe eas adiponec in did no con ibu e o hese models. Conclusions Associa ions be ween highe adiponec in le els and lowe muscle o bone mass in heal hy olde adul s may be explained by a dec ease in IGF-1 wi h inc easing adiponec in le els. Keywo ds Adiponec in pa adox; Olde adul s; Skele al muscle mass; Muscle quali y; Bone; Li e a Recei ed: 18 May 2022 ; Re ised: 4 Oc obe 2022 ; Accep ed: 25 Oc obe 2022 *Co espondence o: Anja Bosy-Wes phal, Ch is ian-Alb ech s-Uni e si ä zu Kiel, Ins i u ü Humane näh ung und Lebensmi elkunde, Düs e nb ooke Weg 17 , 24105 Kiel, Ge many. Email: [email p o ec ed]e In oduc ion Adiponec in is an abundan pep ide ho mone p ima ily sec e ed by adipose issue (AT), and o a lesse ex en by skel- e al muscle (SM) and bone ma ow adipocy es ( o a e iew, see Fazeli e al. 1 ). I is well-known o imp o ing insulin sen- si i i y as well as o an i-inflamma o y and an i-a he ogenic p ope ies ( o a e iew, see Robinson e al. 2 ). Se e al me a- bolic and ca dio ascula diso de s including ype 2 diabe es, me abolic synd ome ( o a e iew, see Di Chia a e al. 3 ), a he oscle osis 4 and non-alcoholic a y li e disease 5 a e hus accompanied by hypoadiponec inaemia. As a myokine, adiponec in ac s as a myogenic ac o h ough he pa icipa- ion in muscle di e en ia ion and issue egene a ion, and influencing he beha iou o muscle cells ( o a e iew, see Gambe i e al. 6 ). Accumula ing e idence also sugges s ha ORIGINAL ARTICLE © 2022 The Au ho s. Jou nal o Cachexia, Sa copenia and Muscle published by John Wiley & Sons L d on behal o Socie y on Sa copenia, Cachexia and Was ing Diso de s. This is an open access a icle unde he e ms o he C ea i e Commons A ibu ion-NonComme cial-NoDe i s License, which pe mi s use and dis ibu ion in any medium, p o ided he o iginal wo k is p ope ly ci ed, he use is non-comme cial and no modifica ions o adap a ions a e made. Jou nal o Cachexia, Sa copenia and Muscle 2023; 14: 270–278 Published online 18 No embe 2022 in Wiley Online Lib a y (wileyonlinelib a y.com) DOI: 10.1002/jcsm.13127 adiponec in p omo es os eoblas ogenesis, while simul a- neously inhibi ing os eoclas ogenesis ( o a e iew, see Lewis e al. 7 ). I is he e o e causally enigma ic why adiponec in le els a e nega i ely associa ed wi h SM, muscle densi y, physical unc ioning 8 o bone mine al densi y (BMD) 9 among olde adul s. Adiponec in le els we e shown o inc ease wi h age 10 and a e e en associa ed wi h highe a es o ca dio as- cula and all-cause mo ali y in olde popula ions. 11 The so-called adiponec in pa adox he e o e sugges s ha adipo- nec in may no exe beneficial e ec s in olde adul s. Di e en explana ions o he adiponec in pa adox in olde people ha e been discussed including adiponec in esis ance, 12 compensa o y e ec s o adiponec in o subclin- ical pa hologies, impai ed enal unc ion and dec eased he- pa ic clea ance o adiponec in ( o a e iew, see Kalkman 13 ). In addi ion, adiponec in was p oposed o be a bioma ke o ad e se ca abolic p ocesses (i.e., a low SM due o sa copenia ela ed o aging, 8,14 o cachexia associa ed wi h ch onic in- flamma ion and p e-exis ing illness 15,16 ). I emains unknown i highe adiponec in le els in olde adul s a e a cause o a low muscle mass by media ing ca abolic p ocesses o a he a consequence o ca abolic p ocesses ha lead o a lowe SM. The ela ionship be ween adiponec in and de ailed body composi ion analysis he e o e needs o be in es iga ed in heal hy olde adul s wi hou ca abolic disease o impai ed e- nal unc ion. The aim o he p esen s udy was he e o e (i) o in es i- ga e he associa ion be ween adiponec in le els and SM (by whole body magne ic esonance imaging, (MRI)), muscle a and s eng h o bone mass and bone densi y in heal hy communi y-dwelling olde adul s and (ii) o iden i y po en ial endoc ine de e minan s o adiponec in le els. Me hods S udy popula ion The p esen s udy was conduc ed a he ‘Ge man Re e ence Cen e o Body Composi ion’(Ins i u e o Human Nu i ion and Food Science a he Uni e si y o Kiel, Ge many) be ween 2019 and 2020. Exclusion c i e ia we e oedema, acu e dis- eases, hea ailu e, enal ailu e, in ake o diu e ics, pa alysis (e.g., a e a s oke), neu odegene a i e diseases, umou s in ea men , ampu a ion o limbs, elec ical and me allic implan s, cu en alcohol abuse, no emo able pie cings and la ge a oos on he a ms o legs (because o possible in- e e ence wi h MRI examina ions) as well as medica ion, which could influence body composi ion. Subjec s we e e- c ui ed using no ice boa d pos ings and local ad e isemen s. W i en in o med consen was ob ained om each pa ici- pan . The s udy p o ocol was app o ed by he medical e hics commi ee o he Ch is ian-Alb ech s-Uni e si y o Kiel, Ge - many, and ollowed he guidelines based on he ‘Decla a ion o Helsinki’. The p ima y aim o he s udy was o alida e mea- su es o bioelec ical impedance analysis s. e e ence me hods in olde adul s. The ial was egis e ed a ClinicalT ials.go as NCT04028648. The s udy popula ion was expanded by a subg oup o 40 heal hy Caucasian olde pa ic- ipan s as desc ibed in de ail elsewhe e. 17 F om he included 190 pa icipan s, da a o 173 adul s we e analysed (da a om 15 pa icipan s we e excluded because o mo ion a e ac s o inco ec pa ien posi ioning in MRI. Fu he da a om wo subjec s we e excluded due o missing endoc ine pa ame e s). Body composi ion analysis Body weigh was measu ed o he nea es 0.01 kg by an elec- onic Tani a scale (Tani a, Tokyo, Japan) coupled o he BOD POD® Body Composi ion Sys em (Cosmed s l, Rome, I aly) wi h subjec s in unde wea . Heigh was de e mined wi hou shoes using a s adiome e (SECA, Modell 285, Hambu g, Ge many). Fa mass (FM) and a - ee mass (FFM) we e de- e mined ia ai -displacemen ple hysmog aphy (BOD POD® Cosmed s l, Rome, I aly) as p e iously desc ibed. 18 FM was calcula ed using he equa ion by Si i e al. 19 FFM was calcu- la ed om he di e ence be ween body weigh and FM. On he basis o FM and FFM, FM-Index (FMI) and FFM-Index (FFMI) we e calcula ed as FM (kg)/heigh (m 2 ) and FFM (kg)/heigh (m 2 ). SM and AT we e measu ed using whole body MRI as de- sc ibed in de ail elsewhe e. 20 B iefly, subjec s we e examined in a supine posi ion wi h a ms ex ended abo e hei heads. Fo scans in abdominal and ho acic egions pa icipan s we e equi ed o hold hei b ea h. Images we e ob ained using a 1.5 T scanne (Magne om A an o, Siemens Medical Sys ems, E langen, Ge many) wi h a T1-weigh ed-g adien echo sequence ( epe i ion ime (TR): 157 ms; echo ime (TE): 4 ms o scans o a ms, legs and abdominal egion). The whole body was scanned om w is o ankle using con inuous axial images wi h a slice hickness o 8 mm and 2 mm in e slice gaps o a ms, legs and unk. Volumes o SM, subcu aneous adipose issue (SAT) and isce al adipose issue (VAT) we e manually segmen ed using SliceOma ic 4.3 so wa e (Tomo ision, Mon eal, Canada). VAT was e alu- a ed om he op o he li e o emo al heads. Volumes o o al SM (excluding head and neck muscles, hands and ee ), SAT and VAT we e de e mined om he sum o issue a eas (cm 2 ) mul iplied by he slice hickness. Tissue olumes we e hen con e ed in o masses using he assumed densi ies o 1.04 g cm 3 o SM and 0.92 g cm 3 o SAT and VAT. 21 SM was no malized o heigh squa ed o calcula e skele al mus- cle mass index (SMI, (kg)/heigh (m 2 )). In a subg oup o 135 subjec s, whole body bone mine al con en (BMC), BMD and T-Sco e we e quan ified using dual ene gy X- ay abso p iome y (DXA) (HOLOGIC Disco e y Analysis o he adiponec in pa adox in heal hy olde people 271 Jou nal o Cachexia, Sa copenia and Muscle 2023; 14: 270–278 DOI: 10.1002/jcsm.13127 1353921906009, 2023, 1, Downloaded om h ps://onlinelib a y.wiley.com/doi/10.1002/jcsm.13127 by Uni e si a sbiblio hek Kiel, Wiley Online Lib a y on [18/08/2023]. See he Te ms and Condi ions (h ps://onlinelib a y.wiley.com/ e ms-and-condi ions) on Wiley Online Lib a y o ules o use; OA a icles a e go e ned by he applicable C ea i e Commons License A (S/N 82686), Inc., Bed o d, MA, USA). Be o e daily measu e- men s, a spine phan om calib a ion was pe o med. Scans we e analysed using manu ac u e ’s so wa e ( e sion 12.6.1:3, Hologic, Inc.). Resul s we e summed up o bo h a ms and legs as well as he head. Li e a was de e mined by MRI (Magne om A an o, Sie- mens Medical Sys ems, E langen, Ge many) based on he wo-poin Dixon me hod wi h a olume ic in e pola ed b ea h-hold examina ion sequence as desc ibed in de ail elsewhe e. 22 B iefly, a T1-weigh ed g adien -echo sequence wi h in-phase and ou -o -phase imaging was conduc ed (TR: 10.4 ms; TE: 4.76 (in-phase) and 7.14 (opposed-phase) ms; flip angle, 10° ma ix, 80 × 128; and field o iew, 440 mm; slice hickness/in e slice gap: 5/1 mm; o al scan ime: 19 s). F om in-phase and opposed-phase images, he wa e - only (WO) and a -only (FO)-images we e calcula ed: WO:1 2in-phase þopposed-phaseðÞ(1) FO:1 2in-phase þopposed-phaseðÞ(2) WO and FO-images we e han analysed using ImageJ so - wa e (US NIH, Be hesda, MD, USA 22 ) o de e mine hepa ic a ac ion (HFF). In each o fi e adjacen HFF images, a sin- gle con inuous egion o in e es (ROI) was defined (20.62 × 20.62) and was placed in he li e pa enchyma, a oiding ascula s uc u es. The quan i y o li e a was a - e aged o he fi e HFF images and was de e mined as pe - cen age o he o al li e co e. In e muscula adipose issue (IMAT) in a single mid- high MRI slice and muscle a by he wo-poin Dixon me hod we e used o assess muscle quali y in 173 and 172 subjec s, espec i ely (Figu es 1and 2). IMAT was defined as isible AT be ween muscle g oups ha is loca ed wi hin a muscle and benea h he muscle as- cia. I was assessed in single c oss-sec ional MRI images a he le el o he mid- high. The midpoin o he high was de- fined as hal way be ween he emo al head and he ibial pla eau. Masses o IMAT we e manually de e mined by using a semi-au oma ic segmen a ion so wa e (SliceOma ic 4.3, Tomo ision, Mon eal, Canada). Muscle a was de e mined based on he Dixon me hod using ImageJ so wa e (US NIH, Be hesda, MD, USA 22 ). In lumba egion o mul ifidus and e ec o spinae muscles, a sin- gle con inuous ROI was defined (10.75 × 10.75) in each o fi e adjacen muscle a ac ion images and was placed in he same a ea o all epea ed measu emen s. Muscle a was quan ified as pe cen age o he o al muscle a ea and was a - e aged o he fi e muscle a ac ion images. All p ocedu es we e conduc ed by he same obse e . In 173 subjec s, hand g ip s eng h (HGS) was measu ed using a hyd aulic SAEHAN® handg ip dynamome e (SH5001, Masan, Sou h Ko ea). 135 subjec s conduc ed he es in a s anding posi ion and 38 in a si ing posi ion and he elbow was flexed a 90 deg ees wi h he shoulde a ached o he o so. In 135 subjec s, HGS o he le and igh hand was de e mined h ee imes and he g ea es alue o he dominan hand was included in he analysis, whe eas in 38 subjec s, HGS was de e mined only wice. Endoc ine pa ame e s Se um and plasma blood samples we e aken om an an ecubi al ein a e >10 h o e nigh as . The subjec s we e ins uc ed o e ain om igo ous exe cise and alcohol in ake o 24 h p io o blood sampling. A e collec ion, se- Figu e 1 In e muscula adipose issue (IMAT) in a single mid- high magne ic esonance imaging (MRI) slice segmen ed in pu ple using SliceOma ic so wa e, acqui ed as axial T1-weigh ed g adien -echo sequence. Resul o o al IMAT was 9.30 g. 272 C.O. Walowski e al. Jou nal o Cachexia, Sa copenia and Muscle 2023; 14: 270–278 DOI: 10.1002/jcsm.13127 1353921906009, 2023, 1, Downloaded om h ps://onlinelib a y.wiley.com/doi/10.1002/jcsm.13127 by Uni e si a sbiblio hek Kiel, Wiley Online Lib a y on [18/08/2023]. See he Te ms and Condi ions (h ps://onlinelib a y.wiley.com/ e ms-and-condi ions) on Wiley Online Lib a y o ules o use; OA a icles a e go e ned by he applicable C ea i e Commons License um samples we e s o ed a oom empe a u e in an up igh posi ion o 30 min o comple e clo o ma ion. Plasma and se um we e ob ained by cen i uga ion a 2000 g o 10 min a 20°C and s o ed a 40°C. Sample analyses we e pe o med a he ‘Ge man Ins i u e o Human Nu i ion’, Po sdam-Rehb ücke, Depa men o Nu i ion and Ge on ol- ogy, Nu he al, Ge many and a labo a o y in Kiel, Ge many. In 172 subjec s, lep in (in a-assay CV: 4.2–7.6%, in e -assay CV: 4.4–6.7%; BioVendo , B no, Czech Republic), adiponec in (in a-assay CV: 2.8–3.9%, in e -assay CV: 5.9– 6.4%; Immundiagnos ik AG, Bensheim, Ge many) as well as insulin-like g ow h ac o 1 (IGF-1) (in a-assay CV: 5.1– 6.7%, in e -assay CV: 5.5–6.6%; BioVendo , B no, Czech Republic) we e measu ed by comme cial ELISA ki s. As adipo- nec in exp ession is egula ed by he hepa ic ho mone fib o- blas g ow h ac o 21 (FGF-21), also FGF-21 concen a ions we e quan ified by ELISA (in a-assay CV: 1.6–2.4%, in e -assay CV: 3.1–3.5%; BioVendo , B no, Czech Republic) in a subg oup o 135 subjec s. As inflamma o y pa ame e s, in e leukin 6 (IL-6) (in a-assay CV: 4.2–5.1%, in e -assay CV: 4.7–5.0%; BioVendo , B no, Czech Republic) was de e mined in 135 pa icipan s using comme cial ELISA ki , and high-sen- si i i y C- eac i e p o ein (hsCRP) (in a-assay CV: 0.73– 5.73%, in e -assay CV: 1.50–5.76%; BECKMAN COULTER, B ea, CA, USA) was measu ed using an immuno- u bidime ic es . Insulin was de e mined by chemi- luminescen mic opa icle immunoassay (in a-assay CV: 1.4– 2.1%, in e -assay CV: 1.5–2.2%; Abbo , Wiesbaden, Ge many). Inflamma ion was based on hsCRP >3 mg/L and ele a ed insulin le els we e se a >25.0 mU/L. S a is ical analysis S a is ical analyses we e pe o med using SPSS s a is ical so - wa e (SPSS 28.0, Inc., Chicago, IL, USA). All da a a e gi en as means ±SD. Di e ences be ween independen samples we e analysed using unpai ed - es . E alua ion o no mali y was pe o med using he Shapi o–Wilk es and esidual analysis. Pea son’s and Spea man’s co ela ion coe ficien s we e calcu- la ed o iden i y bi a ia e associa ions be ween and wi hin body composi ion, endoc ine and unc ional pa ame e s. Pa - ial co ela ions we e used o adjus o a ious con ounde s. S epwise mul iple eg ession analyses we e pe o med o as- sess ac o s independen ly associa ed wi h SMI, BMC and lumba muscle a . All es s we e wo-sided and le el o sig- nificance was se a P<0.05. Resul s In o al, 173 olde adul s (101 women and 72 men) aged 59– 86 yea s wi h a BMI be ween 18 and 37 kg/m 2 we e included in he s udy. Desc ip i e cha ac e is ics a e summa ized in Table 1. Men we e significan ly olde and had a highe BMI, FFMI, SM, SMI, IMAT, VAT, HGS as well as BMC, BMD and T-Sco e compa ed wi h women. Acco ding o WHO c i e ia, 26.6% o women and 30.6% o men we e o e weigh o obese. In a subpopula ion o 135 subjec s wi h DXA esul s, he p e alence o a educed muscle mass was 7.40% acco d- ing o he ecommended FFMI h esholds o he ‘Global Lead- e ship Ini ia i e on Malnu i ion’(FFMI cu -o s: <15 and <17 kg/m 2 in women and men, espec i ely 23 ). Po en ial endoc ine de e minan s o adiponec in le els a e summa ized in Table 2. Adiponec in le els we e lowe in men compa ed wi h women. Insulin and IGF-1 le els we e highe and lep in le els we e lowe in men compa ed wi h women. P e alence o ele a ed hsCRP and insulin le els we e 20.2% and 2.3%, espec i ely. Co ela ions be ween adiponec in o IGF-1 le els and body composi ion pa ame e s a e p esen ed in Table 3.In Figu e 2 Lumba muscle a in he egion o mul ifidus and e ec o spinae muscles wi h a yellow 10.75 × 10.75 egion o in e es (ROI) de e mined using ImageJ so wa e, acqui ed as axial T1-weigh ed g adien -echo Dixon sequence. Resul o he pe cen age o muscle a was 9.54%. Analysis o he adiponec in pa adox in heal hy olde people 273 Jou nal o Cachexia, Sa copenia and Muscle 2023; 14: 270–278 DOI: 10.1002/jcsm.13127 1353921906009, 2023, 1, Downloaded om h ps://onlinelib a y.wiley.com/doi/10.1002/jcsm.13127 by Uni e si a sbiblio hek Kiel, Wiley Online Lib a y on [18/08/2023]. See he Te ms and Condi ions (h ps://onlinelib a y.wiley.com/ e ms-and-condi ions) on Wiley Online Lib a y o ules o use; OA a icles a e go e ned by he applicable C ea i e Commons License acco dance wi h he adiponec in pa adox, highe adiponec in le els we e associa ed wi h a lowe SMI and BMC in he o al s udy popula ion. No co ela ion was obse ed be ween adi- ponec in and HGS. Lowe adiponec in le els we e associa ed wi h a highe BMI ( =0.34, P<0.01) and FMI in men and wi h g ea e VAT in he o al popula ion. The associa ion be- ween adiponec in and SMI emained significan a e adjus - men o VAT ( =0.16, P<0.04). No ela ionships be ween adiponec in and FGF-21, lep in, IL-6 o hsCRP and insulin we e ound. In con as o adiponec in, IGF-1 le els we e posi i ely as- socia ed wi h SMI in he o al popula ion and in he sub- g oups o men and women. Fu he mo e, IGF-1 concen a- ions we e co ela ed wi h BMC, BMD and T-Sco e in he o al popula ion and BMD and T-Sco e in women. IGF-1 le els we e also posi i ely associa ed wi h HGS ( = 0.31, P<0.05, all; = 0.35, P<0.01, men) and nega i ely wi h age ( =0.21, P<0.01, all; =0.20, P<0.05, women; =0.33, P<0.01, men) and adiponec in le els ( =0.15, P<0.05). To es , i he pa adoxical associa ion be ween highe adiponec in and lowe SMI could be ex- plained by lowe IGF-1 le els wi h highe age, pa ial co ela- ion analysis be ween adiponec in and SMI adjus ed o IGF-1 was pe o med. The nega i e co ela ion be ween SMI and adiponec in in he o al s udy popula ion pe sis ed, bu was sligh ly weakened ( =0.20, P= 0.01). S epwise eg ession analyses wi h SMI o BMC as depen- den a iables and adiponec in, IGF-1, insulin, IL-6, hsCRP, lep in and age ( o SMI) and adiponec in, IGF-1, IL-6, lep in and age ( o BMC), espec i ely as independen a iables we e pe o med (Table 4). Insulin, IGF-1 and lep in explained 18.4% o he a iance in SMI. A e conside ing sex as u he Table 1 Cha ac e is ics o he s udy popula ion All subjec s Women Men n173 101 72 Age (yea s) 70.7 ± 5.3 70.0 ± 4.9* 71.7 ± 5.7 Heigh (m) 1.68 ± 0.10 1.62 ± 0.06*** 1.77 ± 0.1 Weigh (kg) 73.3 ± 15.2 65.1 ± 11.0*** 84.7 ± 12.7 BMI (kg/m 2 ) 25.7 ± 3.8 24.9 ± 4.0*** 27.0 ± 3.2 FMI (kg/m 2 ) 9.2 ± 3.4 9.9 ± 3.6*** 8.1 ± 2.7 SAT (kg) 17.4 ± 6.5 18.8 ± 6.8*** 15.5 ± 5.5 VAT (kg) 2.2 ± 1.6 1.4 ± 0.9*** 3.3 ± 1.7 FFMI (kg/m 2 ) 16.6 ± 2.3 15.0 ± 1.2*** 18.8 ± 1.2 SM (kg) 22.2 ± 5.9 18.0 ± 2.5*** 28.0 ± 4.1 SMI (kg/m 2 ) 7.7 ± 1.4 6.9 ± 0.8*** 8.9 ± 1.1 BMC (kg) 2.07 ± 0.54 1.71 ± 0.27*** 2.61 ± 0.35 BMD (g/cm 2 ) 1.00 ± 0.14 0.92 ± 0.10*** 1.12 ± 0.10 T-Sco e 1.5 ± 1.2 2.1 ± 1.1*** 0.7 ± 1.0 Li e a (%) 8.4 ± 4.2 8.1 ± 4.5 8.8 ± 3.8 Lumba muscle a (%) 9.5 ± 3.7 9.3 ± 3.8 9.6 ± 3.7 IMAT single mid- high (g) 4.5 ± 2.3 3.4 ± 2.1*** 5.4 ± 2.3 HGS (kg) 31.9 ± 10.3 25.0 ± 5.0*** 41.4 ± 7.9 Abb e ia ions: BMC, bone mine al con en ; BMD, bone mine al densi y; BMI, body mass index; FFMI, a - ee mass index; FMI, a mass index; HGS, hand g ip s eng h; IMAT, in e muscula adipose issue; SAT, subcu aneous adipose issue; SM, skele al muscle; SMI, skele al muscle mass index; VAT, isce al adipose issue. No e: Values a e means ± SD; n, no. o subjec s. * P<0.05. *** P<0.001 sex di e ences by - es , wo-sided. Table 2 Adiponec in le els and i s po en ial endoc ine de e minan s All subjec s Women Men n173 101 72 Adiponec in (mg/L) 19.8 ± 16.4 22.8 ± 19.3** 15.5 ± 9.8 IGF-1 (μg/L) 151.3 ± 56.8 140.3 ± 52.5** 166.7 ± 59.4 FGF-21 (pg/mL) 212.2 ± 212.2 233.5 ± 255.3 180.3 ± 117.3 Lep in (ng/mL) 11.2 ± 11.0 14.2 ± 12.7*** 6.6 ± 5.5 IL-6 (pg/mL) 10.11 ± 24.52 6.72 ± 6.47 15.20 ± 37.58 hsCRP (mg/L) 2.31 ± 3.07 2.12 ± 2.60 2.58 ± 3.63 Insulin (μU/L) 9.8 ± 6.1 8.9 ± 4.3* 10.9 ± 7.8 Abb e ia ions: FGF-21, fib oblas g ow h ac o 21; hsCRP, high-sensi i i y C- eac i e p o ein; IGF-1, insulin-like g ow h ac o 1; IL-6, in- e leukin 6. No e: Values a e means ± SD; n, no. o subjec s. * P<0.05. ** P<0.01. *** P<0.001 sex di e ences by - es , wo-sided. 274 C.O. Walowski e al. Jou nal o Cachexia, Sa copenia and Muscle 2023; 14: 270–278 DOI: 10.1002/jcsm.13127 1353921906009, 2023, 1, Downloaded om h ps://onlinelib a y.wiley.com/doi/10.1002/jcsm.13127 by Uni e si a sbiblio hek Kiel, Wiley Online Lib a y on [18/08/2023]. See he Te ms and Condi ions (h ps://onlinelib a y.wiley.com/ e ms-and-condi ions) on Wiley Online Lib a y o ules o use; OA a icles a e go e ned by he applicable C ea i e Commons License co a ia e, sex and insulin oge he explained 65.1% o he a iance in SMI. IGF-1, lep in and age explained 16.4% o he a iance in BMC. A e addi ional adjus men o sex, only sex was en e ed in he equa ion and explained 68.5% o he a iance in BMC. A e excluding subjec s wi h ele a ed hsCRP le els, he nega i e associa ion be ween adiponec in concen a- ions and BMC in he o al popula ion was no longe signi - ican (P= 0.08), whe eas nega i e co ela ions be ween adiponec in le els and insulin ( =0.18, P<0.05), BMI ( =0.18, P<0.05) and HGS ( =0.18, P<0.05) could be obse ed. The nega i e associa ion be ween IGF-1 and adiponec in le els in he o al popula ion pe sis ed ( =0.18, P<0.05). Conce ning ec opic a , highe adiponec in le els we e as- socia ed wi h lowe li e a in he o al s udy popula ion and in he subg oup o men, whe eas adiponec in le els we e pa adoxically posi i ely co ela ed wi h lumba muscle a in women (Table 3). By con as , IGF-1 showed nega i e co ela ions wi h lumba muscle a in women and in he o al s udy popula ion. The nega i e associa ion be ween adiponec in and lumba muscle a in women weakened a e adjus men o IGF-1 ( = 0.19, P= 0.05). S epwise e- g ession analysis wi h lumba muscle a as he dependen a iable and adiponec in, IGF-1, lep in, insulin, IL-6, hsCRP, FMI and age as independen a iables, e ealed ha only FMI and IGF-1 independen ly explained 34.3% o he a i- ance (Table 4). Insulin, lep in, IL-6 and hsCRP we e posi i ely co ela ed wi h ec opic a deposi ion in li e and muscle, whe eas highe FGF-21 le els we e posi i ely co ela ed wi h li e a con en . Fu he mo e, ec opic li e and muscle a showed consis en posi i e associa ions wi h FMI and VAT anging be- ween = 0.31 and = 0.61 (all P<0.05). Table 3 Co ela ions be ween adiponec in o IGF-1 and body composi ion pa ame e s All subjec s Women Men Adiponec in (mg/L) IGF-1 (μg/L) Adiponec in (mg/L) IGF-1 (μg/L) Adiponec in (mg/L) IGF-1 (μg/L) SMI (kg/m 2 )0.23** 0.33** - 0.22* - 0.39** BMC (kg) 0.17* 0.33** ---- BMD (g/cm 2 ) - 0.37** - 0.22* - - T-Sco e - 0.34** - 0.22* - - FMI (kg/m 2 ) ----0.32** - VAT (kg) 0.21** ----- Li e a (%) 0.20* - - - 0.26* - Lumba muscle a (%) - 0.17* 0.27** 0.30** - - IMAT single mid- high (g) ------ Abb e ia ions: BMC, bone mine al con en ; BMD, bone mine al densi y; FMI, a mass index; IGF-1, insulin-like g ow h ac o 1; IMAT, in e muscula adipose issue; SMI, skele al muscle mass index; VAT, isce al adipose issue. * P<0.05. ** P<0.01. Table 4 S epwise mul iple eg ession analyses wi h SMI, BMC and lumba muscle a as dependen a iables Dependen a iables and p edic o s βcoe ficien R 2 SEE P- alue VIF SMI (kg/m 2 ) Model a S ep 1: insulin (μU/L) 0.073 0.101 0.018 <0.001 1.135 S ep 2: IGF-1 (μg/L) 0.005 0.150 0.002 0.015 1.053 S ep 3: lep in (ng/mL) 0.023 0.184 0.010 0.021 1.104 BMC (kg) Model b S ep 1: IGF-1 (μg/L) 3.232 0.098 0.794 <0.001 1.044 S ep 2: lep in (ng/mL) 8.500 0.135 3.715 0.024 1.009 S ep 3: age (y) 16.918 0.164 7.949 0.035 1.040 Lumba muscle a (%) Model c S ep 1: FMI (kg/m 2 ) 0.56 0.296 0.100 0.100 1.020 S ep 2: IGF-1 (μg/L) 0.02 0.343 0.007 0.007 1.020 Abb e ia ions: BMC, bone mine al con en ; FMI, a mass index; IGF-1, insulin-like g ow h ac o 1; SEE, s anda d e o o es ima ion; SMI, skele al muscle mass index; VIF, a iance infla ion ac o . a Model: independen a iables: adiponec in, IGF-1, insulin, IL-6, hsCRP, lep in and age. b Model: independen a iables: adiponec in, IGF-1, lep in, IL-6 and age. c Model: independen a iables: adiponec in, IGF-1, lep in, insulin, IL-6, hsCRP, FMI and age. Analysis o he adiponec in pa adox in heal hy olde people 275 Jou nal o Cachexia, Sa copenia and Muscle 2023; 14: 270–278 DOI: 10.1002/jcsm.13127 1353921906009, 2023, 1, Downloaded om h ps://onlinelib a y.wiley.com/doi/10.1002/jcsm.13127 by Uni e si a sbiblio hek Kiel, Wiley Online Lib a y on [18/08/2023]. See he Te ms and Condi ions (h ps://onlinelib a y.wiley.com/ e ms-and-condi ions) on Wiley Online Lib a y o ules o use; OA a icles a e go e ned by he applicable C ea i e Commons License Discussion Ou da a confi m he adiponec in pa adox in olde adul s wi hou inflamma o y diseases. Highe adiponec in le els we e associa ed wi h lowe SMI and BMC in he o al s udy popula ion and highe lumba muscle a in women. These obse a ions may explain he posi i e associa ion be ween adiponec in and mo ali y ha was ound in p e ious s udies e en independen o como bid condi ions like his o y o cance , 8 hype ension, diabe es, ca dio ascula disease, con- ges i e hea ailu e 8,24 and ch onic kidney disease. 24 Howe e , adiponec in may no be causally ela ed o an unheal hy body composi ion because o he nega i e associ- a ion be ween adiponec in and IGF-1. IGF-1 has well-known anabolic e ec s on muscle and bone ( o a e iew, see Goma asca e al. 25 ). In line wi h ou hypo hesis, s epwise mul iple eg ession analyses e ealed ha adiponec in was no significan p edic o o SMI, BMC and lumba muscle a when conside ing IGF-1 as a dependen a iable (Table 4). Simila o ou esul s in heal hy people, adiponec in le els we e nega i ely ela ed o se um IGF-1 in ac omegaly 26 as well as in men wi h ype 2 diabe es. 27 This co ela ion was independen o BMI, 26,27 enal unc ion and age, 27 sugges ing ha IGF-1 migh inhibi he exp ession o adiponec in. In i o expe imen s in cul u ed 3T3-L1 adipocy es ha e indeed shown dec eased adiponec in mRNA le els by IGF-1 o insulin 28 and a s udy in a s demons a ed ha in usion o ecombinan human IGF-1 dec eased plasma le els o adiponec in. 29 By con as , IGF-1 supplemen a ion in pa ien s wi h g ow h ho mone deficiency did no a ec se um adipo- nec in le els. 30 In ou s udy, IGF-1 le els we e nega i ely co ela ed wi h age and may he e o e explain highe adiponec in le els in an olde popula ion. The nega i e associa ion be ween adipo- nec in and IGF-1 in pa ien s wi h ype 2 diabe es 27 may be due o impai ed insulin sec e ion and hus lowe IGF-1 le els in hese pa ien s, 31 whe eas in pa ien s wi h ac omegaly, o e p oduc ion o IGF-1 may con ibu e o lowe adiponec in concen a ions. The e was a lack o associa ion be ween adi- ponec in and IGF-1 le els in pa ien s wi h mo bid obesi y a - e weigh loss induced by ba ia ic su ge y 32 whe eas in young women wi h non-diabe ic obesi y a posi i e associa- ion be ween IGF-1 and adiponec in was ound. 33 In he la e s udy, a significan nega i e co ela ion be ween IGF-1 and CRP was obse ed indica ing ha inflamma ion may be causal o he posi i e associa ion be ween IGF-1 and adipo- nec in because inflamma ion may impai he exp ession o bo h ho mones 33–35 ( o a e iew, see Ki k e al. 36 ). In con as o he associa ion be ween IGF-1 and muscle mass, muscle a o bone mass, o he bes o ou knowledge he e is no di ec causal e ec o IGF-1 on VAT o li e a . The e o e, he plausible nega i e co ela ions be ween adipo- nec in and VAT ( o al popula ion), FMI and li e a (especially in men) we e e iden in ou hea hy olde popula ion (Table 3). An al e na i e explana ion o he adiponec in pa adox is ha highe adiponec in le els in people wi h a lowe SM may be in e p e ed as a s a a ion signal (i.e. as a conse- quence o poo nu i ional s a us 37 o his o y o weigh loss among olde people 8 ). In line wi h his a gumen , weigh loss leads o an inc ease in adiponec in le els no only in people wi h obesi y 32 bu also in heal hy lean subjec s. 38 In he p es- en s udy, pa ial co ela ion be ween adiponec in and SMI adjus ed o IGF-1 e ealed, ha he nega i e co ela ion be ween SMI and adiponec in was only sligh ly weakened. Because ou da a a e c oss-sec ional, we canno exclude he possibili y ha a low SMI is causal o highe adiponec in le els. Adiponec in is also sec e ed by myocy es, he e o e he impac o ene gy a ailabili y on his e ec needs o be in es iga ed. The in e p e a ion o highe adiponec in le els as a s a a ion signal is howe e unlikely in a heal hy non-malnou ished s udy popula ion o communi y-dwelling olde people. The p esen s udy has se e al s eng hs. Fi s , he sample o olde communi y-dwelling Caucasians was heal hy, hus con ounde s caused by disease can be excluded. In addi ion, he popula ion was well cha ac e ized using whole body MRI, which is conside ed as he gold s anda d me hod o assessmen o SM and muscle a . Body composi ion was complemen ed wi h HGS as a unc ional pa ame e . Ne e - heless, ou findings should be conside ed in he con ex o some limi a ions. Fi s , adiponec in ci cula es in blood in mul- iple iso o ms wi h di e en physiologic unc ions. 39,40 As only o al adiponec in concen a ions we e measu ed, he e - ec s o he di e en iso o ms canno be examined. Finally, ou esul s need o be confi med using a longi udinal s udy design. Fo example, nu i ion in e en ions migh a ec ad- iponec in le els media ed by IGF-1. I has been demons a ed ha IGF-1 le els dec ease in esponse o as ing and sho - e m calo ic es ic ion o p o ein es ic ion 41 ( o a e- iew, see Thissen e al. 42 ). The e ec o p o ein supplemen a- ion in heal hy olde people on adiponec in le els emains o be in es iga ed. In conclusion, ou esul s sugges ha adiponec in is no causally ela ed o impai ed mass and unc ion o he musculoskele al sys em in heal hy olde people bu he as- socia ions a e media ed by an age- ela ed decline in IGF-1 le els ha con ibu e o an inc ease in adiponec in. These esul s suppo he hypo hesis o a unc ional in e play be ween IGF-1 and adiponec in ha had been p oposed by O ù e al. 43 Acknowledgemen s The s udy p o ocol was app o ed by he medical e hics com- mi ee o he Ch is ian-Alb ech s-Uni e si y o Kiel, Ge many, and ollowed he guidelines based on he ‘Decla a ion o Hel- 276 C.O. Walowski e al. Jou nal o Cachexia, Sa copenia and Muscle 2023; 14: 270–278 DOI: 10.1002/jcsm.13127 1353921906009, 2023, 1, Downloaded om h ps://onlinelib a y.wiley.com/doi/10.1002/jcsm.13127 by Uni e si a sbiblio hek Kiel, Wiley Online Lib a y on [18/08/2023]. See he Te ms and Condi ions (h ps://onlinelib a y.wiley.com/ e ms-and-condi ions) on Wiley Online Lib a y o ules o use; OA a icles a e go e ned by he applicable C ea i e Commons License sinki’. W i en in o med consen was ob ained om each pa - icipan . The au ho s ce i y ha hey comply wi h he e hical guidelines o au ho ship and publishing in he Jou nal o Ca- chexia, Sa copenia and Muscle. 44 This wo k was suppo ed by a g an o seca gmbh & co.kg., Ge many (2019/2020) and he Danone Ins i u e-Nu i ion o Heal h, Ge many (2013/14). We hank B i a Jux and he Clinic o Diagnos ic Radiology, Uni e si y medical Cen e Schleswig-Hols ein, Kiel (Ge many) o he help wi h MRI scanning. Open Access unding enabled and o ganized by P ojek DEAL. 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