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1.IntroductionPeripheral vascular disease and neuropathy are common complications of diabetes mellitus.1 Autonomic nerve damage can also interfere with microcirculation, and this may cause a delay in wounds and ulcers healing. Specifically, the lesions of lower limbs, defined as diabetic foot ulcers (DFU),2,3 frequently have a very slow healing process.4 A number of treatments for DFU have been largely explored, but only prevention and wound care have emerged as the most suitable.5,6 Hence, more efficient methods are still required for accelerating the recovery process and avoiding lower limb amputation. A promising treatment in wound healing is the low-level light therapy (LLLT), a system using low-power light to stimulate cellular function and biological activity.7 Recent studies showed the importance of LLLT in pain,8,9 skin,7,10 and wound11,12 care. In recent years, investigators have examined the effect of LLLT on the DFU treatment,13 finding improvement in pain scores14–16 or in clinical foot sensation.17,18 However, there is very little scientific understanding of the effective mechanism of LLLT on DFU. Animal studies revealed that LLLT improved skeletal muscle repair,19 and vascular and nerve recovery.20 Furthermore, an in vitro study observed that LLLT increases oxygen consumption rates, reduces reactive oxygen species concentration, and increases adenosine triphosphate (ATP) production.21 However, no previous studies investigated the physiological effect of LLLT on the neuropathy in diabetic patients. Considering neuropathy affects innervation of the small muscles of the foot and fine vasomotor control of the lower limb circulation,3 the effect of LLLT on both the aspects should be examined. Vascular and peripheral nervous systems can be noninvasively explored by near-infrared spectroscopy (NIRS), which quantifies the relative concentration of tissue hemoglobin.22 Despite the NIRS general use of monitoring cerebral vascular reactivity,23 it can also be used to monitor the diabetic muscle metabolic changes.24–26 Furthermore, the analysis of NIRS signal in frequency domain can reveal the nervous system oscillations, and so the progression of peripheral arterial disease and neuropathy can be studied.27,28 The aims of this study were twofold: (i) to investigate the effect of LLLT on peripheral vascular and nervous systems in DFU patients and (ii) to test two different LLLT power intensities. A group of diabetic subjects with DFU underwent an LLLT treatment. The modifications in tissue oxygenation and autonomic nervous system regulation were recorded by NIRS. The physiological response of DFU patients to the LLLT protocol was compared with that of healthy subjects. 2.Materials and MethodsThis study aimed at investigating the effects of LLLT in DFU subjects by NIRS pretreatment and posttreatment monitoring. Furthermore, a healthy control (HC) underwent the same protocol, to compare different effects of LLLT. 2.1.PatientsA total of 56 subjects were enrolled in this study: 45 patients affected by DFU and 11 HCs. Subjects were recruited in the Diabetology Department, San Giovanni Antica Sede, Torino, Italy. Inclusion criteria for the DFU group were: (1) type 2 diabetes mellitus for at least 1 year and (2) presence of a DFU more than 6 months. Lesions should not be infected (all the lesions were tested by a culture exam) and located in the second half of the lower limb (see below). Exclusion criteria were pregnancy and unstable health conditions (i.e., heart disease). A comparison group of 11 subjects without any history of metabolic, neurological, and vascular diseases were engaged to form the HC group. The San Giovanni Antica Sede Hospital, where the study was carried out, gave the approval for this study. All of the subjects were informed about the study methods and objectives and signed an informed consent. The demographic and anamnestic patients’ profiles are described in Table 1. There was no significant difference in age group between the DFU and the HC groups. Table 1Demographic and anamnestic characteristics of the two samples.
2.2.Experimental ProtocolOur protocol consisted of a single LLLT treatment for each subject. The experiments were carried out in a quiet, dimmed room, at a controlled temperature. Subjects were asked to lie down on an orthopedic bed in a comfortable and supine position, wearing protection goggles. Afterward, the bandages were slightly removed, and wounds were treated with sodium chloride solution (0.9% saline solution). A commercially available device (Healite II, Lutronic Corporation, Korea) was used. The light source consisted of 10 arrays of 150 continuous pulse light-emitting diode (LED), with a spot size of 1.75 cm and the following three wavelengths: 415, 633, and 830 nm. To focus the light beam on the wound, we moved the LED array nearly 10 cm far away from the wound surface. Then, we adjusted the light head to adapt to the patient’s limb shape. We monitored the local physiological response to LLLT by NIRS before and after treatment. A custom-made frequency-resolved single channel NIRS device was adopted,29 and modification in concentration of total hemoglobin (totHb) was continuously measured.30 The emitter source was formed by three infrared LEDs emitting at 730-, 830-, and 870-nm wavelengths, whereas the receiver was an avalanche photodiode. The receiver probe was located next to the proximal area of tibialis anterior muscle of the wounded leg, whereas the emitter was placed 3 cm away along the muscle axis. Signals were acquired at a sampling frequency of 10 Hz, low-pass filtered at 1 Hz, then sent to a PC laptop by a USB cable. Figure 1 shows position and configuration of the infrared lamp and NIRS probe during the acquisition. The same setup was used for the HC group (for controls, the leg was randomly selected). Fig. 1Position and configuration of the LLLT lamp on the wounded limb. NIRS emitter (white probe) and receiver (black probe) are positioned just above the light head. ![]() Two configurations of the LLLT device were used. A basic treatment () and a second treatment () with four times the energy of the first treatment were set For both configurations, the higher wavelength was chosen, in order to maximize the beam penetration. The 830-nm wavelength was adopted, as target tissues for LLLT are located deeper under the skin.31 Both groups (DFU and HC) underwent a single LLLT treatment. Experimental protocol was divided into three observation windows
We were not able to measure physiological modifications during the LLLT therapy (observation window 2) due to the huge amount of photons injected that saturated the NIRS receiver during LED treatment. Figure 2 shows the LLLT protocol and the corresponding NIRS windows. 2.3.Data AnalysisOnce recorded, NIRS data were downsampled at 2 Hz and band-pass filtered between 20 and 250 mHz by means of an IIR digital filter (10th-order Chebyshev filter). Filtered NIRS signals were analyzed in time and frequency domains with MATLAB (MathWorks Inc., Massachusetts) custom routines. In time domain, the mean totHb concentration was compared before (pre-LLLT) and after therapy (post-LLLT) with a Student’s paired -test in both DFU and HC groups, to verify different effects of therapy [Figs. 3(a) and 3(b)]. Fig. 3Example of NIRS data processing for a pre-LLLT and post-LLLT treatment for a representative DFU subject. (a) and (b) Filtered NIRS signals. (c) and (d) Normalized power spectral density estimated from CWs distribution. (e) and (f) Relative power spectral density in VLF and LF bandwidths. ![]() NIRS signals were also analyzed in the frequency domain as slow frequency drifts convey autonomous nervous system information. In NIRS signal, the very-low frequency (VLF) and low frequency (LF) bandwidths are of interest. VLF corresponds to B-waves in the range of 20 to 60 mHz: these oscillations are originated by rhythmic modifications of vessels’ diameter. On the other hand, LF correlates to M-waves in the bandwidth of 60 to 140 mHz and represent vascular regulation of the autonomic nervous system.32 NIRS signal was analyzed with a time–frequency technique because of its nonstationarity.30,33 For this reason, it was analyzed with a time–frequency technique. A time–frequency distribution belonging to Cohen class was computed, and a Choi–Williams (CW) distribution was adopted as kernel where Scaling factor is the selectivity of the kernel and may vary from 0.1 to 10. We chose a value of 0.5, as it was low enough to attenuate interference terms, but it guaranteed a good representation of frequency components.34,35Once was computed for totHb in pre-LLLT and post-LLLT windows for DFU and HC groups, power spectral density was extracted from CW distribution within the bands of interest [Figs. 3(c) and 3(d)]. From the estimated relative power densities, the ratio between VLF and LF power (VLF/LF) was calculated for pre-LLLT and post-LLLT observation windows [Figs. 3(e) and 3(f)]. Then, they were compared with a paired -test. All statistical tests were carried out with a significance level alpha of 0.05. 3.ResultsFor each subject, average totHb concentration and VLF/LF ratio were calculated. Then, pre-LLLT versus post-LLLT comparison was carried out in the DFU and control groups. Figure 4 compares modification in mean totHb and VLF/LF ratio in DFU and HC groups. Fig. 4Average modification in (a) totHb concentration and (b) VLF/LF due to the LLLT in DFU and HC groups. Data are reported as of the mean (SEM). A significant increase in totHb and a parallel decrease in VLF/LF can be observed only in the DFU group. ![]() As shown in Fig. 4(a), in the diabetic group, mean totHb increased from 6.26 to after therapy. On the contrary, HC subjects showed nearly the same totHb concentration. The paired -test revealed a significant difference in totHb concentration for the DFU group (, ), whereas no significant difference was found in the HC group. Similarly, VLF/LF was compared in DFU and HC groups before and after the therapy. As reported in Fig. 4(b), the VLF/LF ratio was strongly decreased from 0.689 to 0.491 for the DFU group. The decrease in VLF/LF was due to a decrease in VLF and a parallel increase in LF. On average, VLF diminished from 22.8% to 19.5%, whereas LF elevated from 40.5% to 43.4%. In contrast, and similar to totHb concentration, VLF/LF in HC during pre-LLLT remained almost equal to the post-LLLT window. A Student’s paired -test confirmed a significant difference in VLF/LF in the DFU group (, ), but not in the HC group. The results of the statistical analysis are shown in Table 2. Table 2Paired t-test of pre-LLLT and post-LLLT totHb and VLF/LF ratio (mean±standard error of the mean). Of the 56 subjects, 28 DFU patients, and five HC underwent a lower intensity LLLT (), whereas 17 DFU and six HC patients were treated at the highest intensity configuration (). All subjects have safely concluded the LLLT session and no adverse effects were observed in diseased patients and healthy subjects. The difference between pre-LLLT and post-LLLT totHb concentration and VLF/LF ratio were analyzed with the aim to investigate the effect of light energy on body response’s magnitude. In DFU patients, the increment of totHb concentration was higher using the configuration with respect to the lower intensity setup, whereas in HC, no significant difference was observed [Fig. 5(a)]. There was also a decrease of the VLF/LF ratio in DFU subjects, slightly more at , whereas in HC, two opposite behaviors were noticed using different power light intensities [Fig. 5(b)]. 4.DiscussionThis study aimed at investigating the effect of the light therapy in DFU patients. To this end, we monitored tissue oxygenation during one LLLT treatment using NIRS. Then, we verified the different response to LLLT between diseased patients and healthy subjects. Significant modifications in vascular and nervous systems were observed in DFU patients, but not in HC, whose NIRS parameters after LLLT remained constant. By comparing the NIRS parameters before and after LLLT, we observed a significant increase of totHb concentration and a decrease of VLF/LF ratio in DFU patients. The reduction of VLF/LF was due to a lower power in VLF bandwidth and a parallel increase in LF frequencies. LLLT has been demonstrated to be efficacious in DFU wound treatments.13,36 Several hypotheses of DFU physiological response to LLLT have been proposed. Some observed an increase in conduction velocity of the peripheral nerve.18 Shashi Kumar et al.16 hypothesized an effect of the therapy on peripheral microcirculation due to cytokine and growing factors release. Recently, alteration of collagen and extracellular matrix synthesis, and migration, proliferation, and differentiation of different types of cells, has been evidenced as possible mechanisms of LLLT action.13 In addition, several studies demonstrated the effect of LLLT on increasing the ATP production,10,37,38 which may reduce the oxidative stress of the neuropathy.39 However, to the best of our knowledge, no study has been performed yet to monitor the physiological parameters during LLLT in diseased patients. This study showed an increase of totHb concentration in the perilesional area immediately after LLLT. Because totHb is a fingerprint of an increase in the blood volume,30,40 its modification may be due to an improvement in blood flow in the wounded region. This increase may be due to the release of growing factors, as previously described. Furthermore, an improvement in the regulation of the vascular tone may contribute to the local vasodilatation as LLLT has been demonstrated to stimulate nitric oxide release.41,42 Previous studies proved that LLLT stimulates the regeneration of nervous fibers.43,44 On the other hand, modification in slow oscillations of the NIRS signal reflects the regulation of the autonomic nervous system. An increase of power density in LF bandwidth, combined with a drop in the VLF spectrum, may be due to an improvement of autoregulation of the peripheral nervous system in DFU.15,18,21 This study has some limitations. First, only one therapeutic session for each patient was performed: this is because we aimed at gathering information about physiological effects of LLLT on peripheral neuropathy and not on the therapeutic efficacy of long-term trials on wound healing. Furthermore, NIRS measures relative concentrations with respect to a zero point. For this reason, multiple sessions cannot be directly compared. By using NIRS, we documented microcirculation and nervous modifications, but information, such as time to response was not measured. Nevertheless, by comparing parameters before and after the therapy, the overall effect of LLLT on vascular and nervous systems was revealed. The modification of NIRS parameters after a series of treatments and their comparison with quantitative measurements of wound healing will be addressed in future work. 5.ConclusionIn this study, we have investigated the changes in nervous system regularization and in tissue perfusion after LLLT on the wounded lower limb of DFU patients and normal subjects. The changes were monitored noninvasively by a NIRS system. We have observed an improvement in both vascular and nervous systems’ response in the pathological group because the blood flow increased and the autonomous nervous system regulation improved after the therapy. Furthermore, the variation of totHb concentration was strongly different using two different light intensities in DFU patients. This result highlighted the importance of light intensity in therapeutic protocols, which will be investigated in future studies. DisclosuresThe authors declare that they have no relevant financial interest in the paper and no other potential conflict of interest. ReferencesM. Zubair,
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BiographyFilippo Molinari is an associate professor on the faculty of the Department of Electronics, Politecnico di Torino. His research topics include the analysis of biosignals and the biomedical image processing applied to the computer-aided diagnosis and therapy. He is a member of the IEEE Engineering in Medicine and Biology Society, the Italian Group of Bioengineering, and the American Institute for Ultrasound in Medicine. Alberto Bruno received his MS degree in diabetology and internal medicine from the University of Turin in 1981 and 1989, respectively. He is coordinator of the Unified Center of Diabetology and director of the Management of Diabetes Chronic Complications Unit at the San Giovanni Battista Hospital of Turin. He is also the national supervisor of the Italian Society of Diabetology working group on diabetic foot. |