The shortest fixation time allowing the

The shortest fixation time allowing the Alisertib manufacturer maintenance of intact sections throughout the procedure was 45 min. We tested a battery of antibodies

against various classes of proteins, using tissue routinely fixed by transcardiac perfusion with a 4% paraformaldehyde solution as comparison. Using immunoperoxidase staining, all antibodies tested produced regional immunoreactivity patterns that were at least as well discernible, or better, in sections from immersion-fixed tissue as from perfusion-fixed tissue. Figure 1 depicts comparative immunostaining patterns of CD68, glial fibrillary acidic protein (GFAP), synapsin 1, tyrosine hydroxylase (TH) and serotonin (5-HT) in perfusion-fixed and immersion-fixed tissue. Optimal signal-to-noise ratio, as assessed qualitatively, was obtained in sections from blocks postfixed for 3 h, and this time-point was selected here for illustration. CD68 and GFAP were tested in sections prepared from adult (3 months; perfusion-fixed) and from old mice (19 months; immersion-fixed), but this difference in age had no influence on the quality of the staining. As expected, staining of cytoskeletal proteins (e.g. GFAP) showed little influence from the duration of fixation, STA-9090 cell line and a longer post-fixation either had no effect or led to a slight decrease in immunoreactivity (not shown). Abundant transmembrane proteins, such as CD68, myelin-basic

protein or vesicular GABA transporter, likewise showed little dependence on post-fixation duration, and could be detected at high sensitivity

in tissue fixed for 1–6 h. The same result was obtained with transmitter-synthesizing enzymes, for example TH, and with small molecules, such as 5-HT. A pretreatment of sections Carnitine dehydrogenase with pepsin to better expose fixation-sensitive epitopes yielded similar antigen-retrieving effects in immersion-fixed tissue and in perfusion-fixed tissue (not shown) and did not damage the tissue during handling of free-floating sections, indicating that such procedures are compatible with immersion-fixation of living tissue. In our protocol, there is no blocking step prior to incubation in primary antibodies, and endogenous peroxidase activity is not quenched with H2O2. These two steps were skipped, because they bring no improvement to the quality of immunoperoxidase staining in rodent tissue, when it is adequately fixed. Interanimal variability, reflecting the quality of perfusion, was low and comparable among perfusion-fixed and ACSF-perfused mice (not shown). Immunofluorescence staining and imaging by confocal laser scanning microscopy was performed to assess subcellular distribution of neuronal markers, such as the calcium-binding protein parvalbumin (Fig. 2A) or the GABAAR α2 subunit (Fig. 2B and C), as well as eGFP in transgenic mice expressing GAD67-eGFP (Tamamaki et al., 2003) (Fig. 2D and E) and in adult-born neurons labeled with a retrovirus encoding eGFP (Fig. 2F and G) (Duveau et al.

Neither mOFC lesions in the present study nor lesions that includ

Neither mOFC lesions in the present study nor lesions that included lateral OFC

(Rudebeck et al., 2006) altered social valuation. Furthermore, mOFC-lesioned animals did not display any other changes in their general behaviour emotional responsiveness to the various stimuli (Fig. 4B). The lack of importance of the mOFC in the analysis of social stimuli can perhaps be understood in the context of its anatomical connections. Indeed, the mOFC does not receive direct inputs from temporal Smad inhibitor areas involved in processing macaque vocalizations (i.e. temporal auditory areas; see Ghazanfar et al., 2005 and Romanski & Averbeck, 2009) or faces (areas TE and TEO; see Webster et al., 1994 and Carmichael & Price, 1995a). FMRI studies conducted with macaques have demonstrated lateral OFC responsiveness to images of faces (Tsao et al., 2008) while the ACCg is particularly responsive to the vocalizations

of conspecifics (Gil-da-Costa et al., 2004). Valuation of social information is also an important determinant of activation in the human ACC. Behrens and colleagues (Behrens et al., 2008, 2009) found that ACCg activation to the delivery of feedback after decision-making increased in click here proportion to the importance of the feedback for finding out about another person. The subjects studied by Behrens and colleagues played an interactive decision-making game with another player. Feedback was more important for finding out about the other player in phases of the game when the other player’s behaviour was changing more rapidly; it was at these points in the game that outcome-related ACCg activity was highest. Predictions and prediction errors concerning the other player’s intentions were associated with changes in activation

in paracingulate much cortex. Such information about the other player was then used, in conjunction with the subject’s own choice–reward history, to estimate the probability of obtaining a reward on each trial of the game and this estimate was associated with mOFC activation. The dissociation between ACCg activation during the valuation of social information and mOFC activation in relation to reward-guided decision-making mirrors the dissociation between the impairments found after lesions to the two areas in the current experiment. The studies suggest that while mOFC may be active in social decision-making contexts (Fig. 1) its activation reflects expectations about the rewards or other benefits that the subjects hopes to obtain from the decisions that are made. Because the mOFC is active in social situations, albeit in a manner that reflects the benefits for the subject that might be obtained from the social situation (Behrens et al.

So far, only four environmental isolates of

A sanarellii

So far, only four environmental isolates of

A. sanarellii see more and one of A. taiwanensis have been recorded from waste water in Portugal and an additional clinical strain of A. taiwanensis from the faeces of a patient with diarrhoea in Israel. In the present study, strains belonging to these two species were identified from chironomid egg masses from the same area in Israel by sequencing the rpoD gene. This represents a new environmental habitat for these novel species. The first data on the virulence genes and antibiotic susceptibility are provided. The isolates of these two new species possess multiple virulence genes and are sensitive to amikacin, aztreonam, cefepime, cefoxatime, ceftazidime, ciprofloxacin, gentamicin, piperacillin–tazobactam, tigecycline, tobramycin, trimethoprim–sulfamethoxazole and imipenem. The key phenotypic tests for the differentiation of these new species from their closest relative

Aeromonas caviae included the utilization of citrate, growth at 45 °C in sheep blood agar and acid production of cellobiose. Aeromonas are primarily inhabitants of aquatic environments, able to cause gastroenteritis, bacteraemia and wound or soft tissue infections in humans (Figueras, 2005; Janda & Abbott, 2010). Transmission to humans can occur through open wounds or by consumption of contaminated water or food (Figueras, 2005; Janda & Abbott, 2010; Khajanchi et al., 2010; Pablos et al., 2010). Several studies have provided further evidence that Aeromonas infections are waterborne because identical genotypes (clonal isolates) have been found in drinking water and in stools of patients with diarrhoea (Khajanchi et al., 2010; Pablos et al., 2010). selleck products These results are in agreement with some previous studies (Martínez-Murcia et al., 2000) and contradict others (Borchardt et al., 2003). In 2007, Aeromonas was discovered for the first time to be able to inhabit chironomid egg masses, like Vibrio cholerae does (Halpern et al., 2007; Senderovich et al., 2008). Chironomids

are nonbiting midges that can infest drinking water systems and thus can be a source of Aeromonas transmission to humans (Halpern et al., 2007; Senderovich et al., 2008). Senderovich et al. (2008) Vorinostat mouse surveyed bacterial communities able to degrade chironomid egg masses. About 4% of the isolates (45 out of 1018) degraded the egg masses, and of those, 43 were identified as Aeromonas caviae (n = 33), Aeromonas veronii (n = 9) and Aeromonas hydrophila (n = 1) on the basis of partial sequences of the 16S rRNA gene. Considering that the latter gene is not a reliable tool for the identification of all Aeromonas spp., Figueras et al. (2011c) re-identified those strains by sequencing the rpoD gene, which is considered more reliable (Figueras et al., 2011b). While the studied isolates of the species A. hydrophila and A. veronii were correctly identified, those of A. caviae proved to belong to the recently described novel species A.

A dramatic

reduction of LH in the two mutant clones was a

A dramatic

reduction of LH in the two mutant clones was apparent (Fig. 4a, lanes 4 and 5), although whole cell isolation showed distinct pink coloration, indicating a high potential expression of LH. Interestingly, the protein profiles of solubilized aggregates of LH from the membrane fractions in 8 M urea did not exhibit any difference amongst the three clones. LH concentration in the wild type, however, appeared to be twice the quantity of mutant forms (Fig. 4b). The mutant LH proteins were expressed but localized in the membrane BIBW2992 in vitro fractions, and a proportion of wild-type LH was also present in the membrane. The SDS-electrophoretic profiles in Fig. 4c of Ni-NTA purified LH from the three clones were compared, and the findings suggested that purified LH was of very high homogeneity in the control. The yield

of pure enzyme from the mutant forms was low and at least two other proteins co-purified with these mutant forms. Enzymic studies of the two mutated recombinant proteins showed that 143Cys version retained only 20% (35 A555 min−1 mg−1) of the activity of its wild-type (176 A555 min−1 mg−1) counterpart, whereas the 124,143Cys mutant did not show any activity (Table 1). In this study, the potential presence and role of a second disulphide bond in LH was investigated. Preliminary experiments indicated that the two spatially distal Cys residues present in LH are indeed disulphide bonded. Alkylation of the sulphydryl groups of reduced protein by iodomethane resulted in a 91% loss of enzymic BMS-354825 order activity, whereas no significant change in activity was observed with unreduced but alkylated protein. DTT-induced Avelestat (AZD9668) reduction of the enzyme followed by Cd2+ treatment also resulted in a significant loss of enzymic activity in a dose-dependent manner, proving the presence of an -S-S- bond in LH. The

role of this bond was further investigated by engineered 143CysSer and 124,143CysSer mutants of LH. Both mutant forms were capable of expression and targeting LH to the inner membrane. However, LH concentration in the periplasm was found to be significantly reduced when one or both of Cys residues were substituted with Ser residues. Comparison of periplasmic total protein profiles between the wild type and mutant forms showed no significant difference, implying that total protein expression was not affected. This indicated that mutated LH was potentially misfolded because of the absence of a disulphide bond and subsequent degradation. The enzymic activity of 143Cys LH was found to be approximately a fifth of that of the wild type, and the 124,143Cys mutant was devoid of activity. In principal, the fact that two electrons are passed from PQQ to cytochrome c per cycle of lupanine catalysis could suggest that the disulphide bond acts as a redox centre, going through cycles of reduction and oxidation.

It is defined as a BMD T-score of ≤ –25, ie ≥ 25 standard dev

It is defined as a BMD T-score of ≤ –2.5, i.e. ≥ 2.5 standard deviations below the mean value for a healthy gender-matched individual at peak bone mass [23]. Low BMD is a major risk factor for fragility fracture. In the general population, risk factors for fractures include increasing age, low BMI, female gender, family history of hip fracture, vitamin D deficiency, excessive alcohol

intake, current smoking, lack of physical activity, and exposure to certain drugs, for example long-term glucocorticoid click here usage [24]. Approximately 3 million people in the UK have osteoporosis, and each year there are over 230 000 fragility fractures. In the general population, age-related bone loss starts around the age of 40 years and continues throughout life, resulting in an age-related increase in the incidence of fragility fractures. As the median life expectancy increases, the number of fractures is expected to rise significantly. Between 1990 and 2000, the incidence of hip fractures in the developed world increased CYC202 by approximately 25% [25]; it has been projected that, by 2050, the incidence of hip fractures world-wide will have increased by 310% and 240% in men and women, respectively [26]. There is, at present, no national screening programme

for osteoporosis in the UK. The disease is diagnosed on the basis of dual energy X-ray absorptiometry (DXA) scanning in people considered to be at increased risk, principally post-menopausal women. However, the WHO has developed a 10-year fracture prediction tool (FRAX) for use in people aged between 40 and 90 years (www.shef.ac.uk/FRAX/). This 12-item tool was developed from population-based cohorts from Europe, North America, Asia and Australia, and integrates clinical risk factors with BMD at the femoral neck. FRAX generates the 10-year probability of hip fracture D-malate dehydrogenase and major osteoporotic fracture (hip, spine, wrist or humerus), and can be used with or without BMD. Of note, falls are an important risk factor for nonvertebral

fractures, but are not included in the FRAX algorithm. Current approaches to managing metabolic complications in HIV-infected individuals are included in guidelines from the British HIV Association (BHIVA) [27], and the latest European AIDS Clinical Society (EACS) guidelines in a section on noninfectious comorbidities [28]. These generally focus on identifying patients with specific diseases, such as diabetes and kidney disease, and those with risk factors for diseases such as CVD. The BHIVA guidelines recommend lipid analysis [total cholesterol, high-density lipoprotein (HDL) cholesterol, and triglycerides] at baseline, yearly, and before and after treatment or targeted intervention, or more frequently if a high CHD risk dictates.

In addition, United States Centers for Disease Control and Preven

In addition, United States Centers for Disease Control and Prevention (CDC) laboratory-confirmed cases of PAM, B mandrillaris GAE, and AK will be analyzed statistically to determine significant risk factors for exposure and infection; and to recommend strategies for the management and prevention of these increasingly described free-living amebic CNS infections. Initially, Medline, Pub Med, Google®, and Google Scholar® search engines were queried for references using all of the key words CHIR-99021 supplier as medical subject headings terms. The only cases of free-living amebic meningoencephalitis included in the case analyses

were cases with CDC laboratory-confirmed detection of N fowleri, Acanthamoeba spp, or B mandrillaris life forms or DNA as detected by polymerase chain reaction (PCR) in cerebrospinal fluid (CSF), brain biopsy, or brain necropsy tissue. Sources of US cases of PAM came from the registry of the CDC’s Naegleria Workgroup, which ultimately confirmed 121 cases of PAM in the United States Ivacaftor during the period 1937 to 2007.2 Similar analyses were conducted for all CDC laboratory-confirmed cases of GAE caused by B mandrillaris (N = 15) in the United States during the period, 1999 to 2007. Sources of US cases of Balmuthia GAE, or balamuthiasis, came from state departments of public health and the California Encephalitis Project, a joint project launched in 1998 by the California Department of Public

Health and the CDC. Similar analyses were conducted for CDC laboratory-confirmed cases of AK during the period, 1987 to 2007 (N = 73). Significant behavioral, demographic, and recreational risk factors for PAM, Balamuthia GAE, and AK were identified over the study period to make recommendations for the Ureohydrolase early diagnosis, management, and prevention of these infections. All categorical variables were analyzed for statistically significant differences by Yates-corrected, chi-square analyses that compared

patients with potential risk factors for free-living amebic infections to patients with meningoencephalitis or infectious keratitis of undetermined causes or to other cases of free-living amebic meningoencephalitis or infectious keratitis without risk factors reported during the same time periods. Statistical significance was indicated by p-values ≤0.05. As this investigation was a comparative statistical analysis of previously reported CDC-confirmed cases, institutional review board approval was not required. Table 1 compares and contrasts the prominent epidemiological, pathological, clinical, and diagnostic features of four free-living amebic infections in humans, and outlines some of their successful treatment strategies. Table 2 presents a step-wise approach for selecting and sending appropriate diagnostic laboratory specimens to the CDC Division of Parasitic Diseases for free-living ameba testing.

We used the tool to screen three published

studies with s

We used the tool to screen three published

studies with sequences deposited in the first 2 months after our GenBank survey took place. Among the 1076 16S sequences published by Fujita et al. (2010), we found 403 (37%) sequences that were reverse complementary (i.e. average HMM detection ratio of 0 : 6), indicating that reverse complementary sequences can be a very significant problem. Screening the very small dataset of Jurado et al. (2010), one among the 39 sequences was reverse complementary (i.e. HMM ratio 0 : 10), indicating that reverse complementary entries can occur even in very small datasets where manual selleck screening library curation should not be an issue. No reverse complementary sequences or any other anomalies were detected among the 11 173 sequences published by Durso et al. (2010), demonstrating that v-revcomp can identify studies of high data integrity with respect to reverse complementary sequences. The fraction of reverse complementary 16S sequences in public data repositories is around 1%, which LY294002 concentration must be seen as low, given the error-prone user-controlled submission mechanism and the lack of support for third-party annotation of INSD entries (Pennisi, 2008). Nevertheless, the over 9000 reverse complementary

sequences can have serious implications for downstream analysis if the user is not aware of their status. Furthermore, the number of sequences deposited in these repositories will increase drastically with HTS technologies used in amplicon and metagenome sequencing projects, highlighting the need to detect these events in an automated manner. The clear cases of reverse complementary sequences found in this survey were reported to NCBI for reorientation. NCBI does not need prior agreement with sequence authors in order to correct sequences that were deposited in the incorrect

orientation, and such reorientations are brought about quickly. While the problem of reverse complementary sequences can be avoided with v-revcomp, the number and types of anomalous 16S sequences are of greater concern. It is worrisome that we detected 136 sequences that were taxonomically misclassified at the domain level, and more surprising that 26 cases did Alectinib cost not even represent ribosomal genes. Our results stress the importance of critically examining sequences before inclusion in scientific analysis and submission to public databases (Harris, 2003). While v-revcomp is specifically designed to detect reverse complementary sequences, it has certain intrinsic capabilities of detecting some types of sequences anomalies such as reverse complementary chimeras, nontarget genes and erroneous reads. In particular, large-scale metagenome sequencing projects that require automated fragment assembly are prone to errors that could be detected by v-revcomp.

ART success was defined as VL < 400 copies/mL or stable/rising CD

ART success was defined as VL < 400 copies/mL or stable/rising CD4 counts or both. Data on demographics,

adherence, CD4 counts, weights, and post-travel VL were compared between the two groups, between those who had or did not have ART failure and where appropriate before and after travels. t-Test, Wilcoxon-rank-sum (z), Fisher’s exact, and Chi-square (χ2) tests and measures of effect were used for comparison between groups as appropriate, with two-sided p-value < 0.05 regarded as significant. A nested case-controlled analysis was done to determine the role of Hajj in ART failure. Analysis was done using STATA (version 10.0) (College Station, TX, USA). A total of 32 HP on ART performed the Hajj in 2008 to 2009 whereas selleck inhibitor 32 NP patients find protocol were recruited in the study. One participant each among HP and NP had both high pre-travel and post-travel VL (> 400 copies/mL) and were excluded from analyses. Eventually, 31 HP and 27 NP had the required data and their characteristics are presented in Table 1. The HP spent [median (range)] 36 days (28–43 days) whereas the NP spent 84 days (28–84 days) away before their follow-up appointments (Wilcoxon-rank-sum, z = − 4.09; p < 0.0001). The two groups were broadly on similar three-drug ART regimens. They were on two-drug back bone regimens of Zidovudine/Lamivudine (30), Stavudine/Lamivudine (15) and Tenofovir/Emtricitabine,

or Lamivudine (13) coupled with a non-nucleoside reverse transcriptase inhibitor (NNRTI), either Nevirapine (47) or Efavirenz (7), or the ritonavir-boosted Protease Inhibitor Lopinavir–ritonavir (4); all the latter four were HP patients. The daily dosing frequencies were similar between the two groups with majority on twice daily regimens 27/31 (87%) and 27/27 (100%), respectively (Fisher’s exact; p-value = 0.116). The risk ratio (RR) (95% confidence interval [CI]) of missing at least one ART dose among HP compared with NP in the month preceding their journey was Ergoloid 2.18 (0.46–10.33)

(Table 1). The proportion who missed at least one ART dose among HP and NP while away was 16/31 (51.6%) and 5/27 (18.5%), respectively with RR (95% CI) 2.79 (1.18–6.60). Among HP, the proportion who missed at least one dose during Hajj (16/31 [51.6%]) compared with the month before (5/31 [16.1%]) was with a significantly higher RR (95% CI) 3.20 (1.34–7.65). In addition, the proportion among HP who missed a dose after returning from HP was 9.7%, significantly lower than the proportion who missed a dose during the Hajj (p = 0.0003). In contrast, there was no statistical difference in these proportions among the NP before, during, and after travels. Of the 16 HP who missed a dose during Hajj, 14 did not take ART for a median of 34.5 days (range 1–50 days). Five patients were unable or were not allowed passage with ART medications at airports of departure (1) and arrival (4); all discarded their ART supplies.

Second, strong support for this model was provided by a recent st

Second, strong support for this model was provided by a recent study by Pernia-Andrade et al. (2009) showing that CB1 receptors decrease GABA release from inhibitory interneurons in the dorsal horn, measured as inhibitory postsynaptic currents. The same study, using electron microscopic immunohistochemistry, Obeticholic Acid mw found CB1 receptors in axon terminals forming inhibitory synapses in the superficial dorsal horn. Third, the experiment shown

in Fig. 9 confirmed our prediction that the inhibition produced by AM251 was caused by an increase in GABA and opioid release. Thus, inhibition by AM251 was reversed by GABAB and μ-opioid receptor antagonists. Interestingly, the GABAB antagonist CGP55845 reversed the inhibition by AM251 when the dorsal root was stimulated Metabolism inhibitor at 1 Hz but not at 100 Hz. This

is consistent with our previous studies (Marvizon et al., 1999; Lao & Marvizon, 2005) showing that root stimulation at 1 Hz, but not at 100 Hz, induces the activation of GABAB receptors. The fact that CB1 receptors facilitate substance P release reveals an unexpected pronociceptive role of cannabinoids in the spinal cord. Because of the prominent role that substance P and NK1Rs play in the induction of central sensitization (Traub, 1996; Mantyh et al., 1997; De Felipe et al., 1998; Laird et al., 2000), an increase in substance P release would lead to sustained hyperalgesia. Furthermore, inasmuch as substance P release is an indicator of nociceptor activity (Hua & Yaksh, 2009), its facilitation could signal an increase in acute Smad inhibitor nociception. Indeed, we show that CB1 receptors in the spinal cord increase acute thermal nociception (Fig. 8). Our findings are consistent with the study by Pernia-Andrade et al. (2009) showing pronociceptive effects of spinal CB1 receptors during hyperalgesia induced by cutaneous capsaicin injection. They found that spinal application of AM251 decreased neuronal firing evoked by stimuli delivered next to the capsaicin injection site. They also showed

that capsaicin-induced mechanical hyperalgesia in mice was decreased by intrathecal AM251 and knockout of the CB1 receptor gene, both global and restricted to the spinal cord. Importantly, CB1 receptor deletion restricted to primary afferents did not decrease capsaicin-induced hyperalgesia, showing that the pronociceptive effect is caused by CB1 receptors in dorsal horn neurons. Our results show that this pronociceptive effect of CB1 receptors is not limited to hyperalgesia but can also be detected during acute nociception. In conclusion, CB1 receptors in dorsal horn interneurons produce pronociceptive effects by decreasing the release of GABA and opioids next to primary afferent terminals. The resulting decrease in the activity of the GABAB and μ-opioid receptors in these terminals facilitates substance P release by producing disinhibition.

001), TNF-R1 (P=0029) and TNF-R2 (P=0044) than LD− patients

001), TNF-R1 (P=0.029) and TNF-R2 (P=0.044) than LD− patients.

Moreover, CD68 and MCP-1 gene expression showed a positive correlation with circulating FABP-4 level (P=0.022 and P=0.046, respectively) while PPAR-γ expression showed a negative correlation with circulating FABP-4 level in the HIV-1-infected group as a whole. When analyses of these relationships were carried out separately in the LD+ and LD− groups, FABP-4 remained positively correlated only with CD68 expression in the LD+ group (P=0.031). No other significant correlations with FABP-4 plasma level were observed. This study provides some meaningful insights into the involvement of FABP-4 in cART-related lipodystrophy in HIV-1-infected patients. We observed systemic overproduction of FABP-4 in cART-treated GSK-3 assay HIV-1-infected patients with lipodystrophy and found that those with a plasma FABP-4 level in the highest tertile had a higher prevalence of lipodystrophy. Furthermore, GSK2118436 solubility dmso we found that FABP-4 was one of the major determinants of the degree of insulin resistance in HIV-1-infected patients, and this association was independent of body fat distribution. We also observed a close relationship between FABP-4 and inflammatory markers both in plasma and in SAT. The biological role

of circulating FABP-4 is not well understood, but the association observed between serum FABP-4 level and the development of atherosclerosis, metabolic syndrome and type 2 diabetes suggests that plasma FABP-4 levels may parallel its tissue expression and activity. In our HIV-1-infected

cohort, FABP-4 levels were similar to those observed in the control group, despite the difference between the groups in BMI, suggesting that other inflammatory factors could play a role in the regulation of this protein in this population. The observed increase in circulating FABP-4 levels in LD+ HIV-1-infected subjects is consistent with some previous reports in which this protein was evaluated in the context of HIV-1 infection. Similar to our results, Coll and colleagues reported that the level of circulating FABP-4 was higher in HIV-1-infected patients with lipodystrophy compared with nonlipodystrophic subjects, and was closely correlated with BMI and insulin level [12]. However, in that study no measurements of inflammatory parameters or insulin resistance were made. In our cohort, findings for HIV-1-infected patients were Cyclin-dependent kinase 3 similar to those for the uninfected group, and the plasma FABP-4 level was clearly associated with BMI, HOMA-IR index, inflammatory markers and dyslipidaemia. Regarding insulin sensitivity, in an analysis of the variables associated with the HOMA-IR index, we found that FABP-4 level was one of the variables most strongly associated with insulin sensitivity, irrespective of the presence or absence of lipodystrophy. Interestingly, significant associations between FABP-4 plasma level and inflammatory markers expressed in adipose tissue were found mainly in LD+ patients.