Friday, September 25, 2026

Effect of Nutritional Intervention on the Temporal Dynamics of Muscle Strength Adaptation

 

Effect of Nutritional Intervention on the Temporal Dynamics of Muscle Strength Adaptation

Introduction

Muscular adaptation is determined by parameters of mechanical loading, including intensity, load, and duration (Hickson, et al. [1,2]) and adequate nutritional support (Cermak, et al. [3]). Notwithstanding, the primary stimuli appear to be intensity and duration coupled with sufficient resistance (Schuenke, et al. [4]) and variants of these protocols are used throughout the world by professional and recreational athletes to promote muscle size and strength. Based on the classical overload principle a certain threshold needs to be exceeded in order to cause the optimum improvements in muscle strength, accordingly moderate to high mechanical loading has been proposed as the main stimuli to initiate muscle hypertrophy and increase strength adaptation (Hakkinen, et al. [5]). In general, it has been widely acknowledged that the initial phases of training that induce muscle strength improvements are predominantly redirected to the enhanced neuromuscular components (Carroll, et al. [2,6]), whereas morphological changes (hypertrophy) do not occur in muscle tissue until after six to eight weeks of high-magnitude resistance training (Verdijk, et al. [7]). The neurological adaptations that initiate and later augment muscular strength adaptation occurs as a resultant factor of mechanical resistance training and leads to significant increases in strength within the first two-weeks of training (Aagaard, et al. [8]). However, the specific mechanisms involved are still being debated and investigated. It has been postulated that the agonist skeletal muscle activation during high-magnitude mechanical loading could be as a result of augmented motor unit recruitment or firing frequency. While it has been shown that motor unit activation can be slightly changed with mechanical loading training protocols (Patten, et al. [9]) the study of motor units pre- and -post mechanical loading interventions appear to follow the size principle regardless of stimuli i.e., isometric or dynamic contractions [10].

Nevertheless, although the size principle appears to be conserved post training the absolute force that a specific motor unit is recruited depends on the augmented contractile force and contraction time of low-threshold units post training (Aagaard, et al. [11]). Another consideration that has been shown to impact neuromuscular adaptation is the application of a particular training protocol, explosive or steady state muscular contractions [9] evidenced that contraction type can determine neuromuscular response with progressive maximal contractions eliciting greater adaptations than rapid explosive contractions. The initial increase in neuromuscular adaptation enables larger loads and greater intensity to be achieved within the parameters of the training protocol therefore, the resultant factor will be further augmented adaptation leading to morphological changes (Duchateau, et al. [12]). Morphological changes are initiated to protect the skeletal muscular system from damage caused by external factors i.e., highmagnitude mechanical loading (to maintain homeostatic balance) (Haun, et al. [13,14]). The morphological change in response to high-magnitude mechanical loading results in enlargement of the muscle fibres, hypertrophy. The increase in the cross- sectional area (CSA) of skeletal muscle augments the strength of the muscle, as the CSA of a muscle is directly proportional to the force of the muscle. The morphological adaptation of muscle tissue is initially stimulated by mechanical stress which leads to metabolic stress (fatigue driven), initiating a plethora of other factors including hormonal changes; testosterone, insulin-like growth factor-1 (IGF- 1), insulin fluctuations; nutritional intake; protein, carbohydrates, electrolytes; recovery and timing of feeding to stimulate muscle adaptation, all these factors evoke adaptation [15].

High-magnitude mechanical loading causes mechanical stress during the concentric and specifically the eccentric phase of skeletal muscle contraction creating a greater hypertrophic response (Lixandrao, et al. [16]). Where eccentric contractions are challenging the sarcomere, the length is compromised and elongated beyond myofilament overlap, the tension augments and the actinmyosin cross-bridge integrity becomes compromised resulting in micro tears [17,18]. Continued contraction additionally damages the integrity of the sarcomere resulting in augmented calcium release and leads to damage to the sarcoplasmic reticulum leading to localised oedema and soreness as a result of inflammation. To elucidate further mechanical stress coupled with metabolic fatigue leads to localised metabolic stress resulting in increased activation of mechanosensitive calcium channels, intracellular enzymes and second messengers. IGF-1 is also secreted from the muscle cells triggering signalling cascades resulting in muscle protein synthesis (MPS) (Yang, et al. [19-23]). The increase in MPS stimulates additional molecular mechanisms that augment sarcomeres and myofibrils contractile elements size expanding the extracellular matrix to support growth/hypertrophy (Haun, et al. [13]). Regardless that this study is concentrating on the examination of skeletal muscle adaptation via high-magnitude mechanical loading (predominantly strength training protocols), heavy resistance lowvolume or light resistance and high-volume training effects strength adaptation to some degree, and a subsequent change in fibre type size (Campos, et al. [24-27,13]). There is evidence that resistance training elicits a greater effect on Type II muscle fibre with satellite cell proliferation and differentiation augmenting (Kadi, et al. [25,28]). Together with sarcoplasmic expansion and coordinated up-regulation of sarcoplasmic proteins involved in glycolysis and other metabolic processes related to ATP generation. This suggests that Type II muscle fibres (fast twitch fibres generating more force) can adapt significantly to resistance training by increasing their size (Verdijk, et al. [29]).

To facilitate the mechanisms of adaptation post mechanical stimuli adequate nutrition is essential, with specific attention to protein consumption (Esmarck, et al. [30-36]). A positive nitrogen balance provided by protein feeding is required to ensure remodelling of contractile machinery leading to hypertrophy (McGlory, et al. [37]). Nutrition is therefore a fundamental external element that can be manipulated to ensure a positive nitrogen balance is maintained post training to facilitate MPS, (Andrews, et al. [14]). The protocol for pre-training and post-training feeding is well documented (Berardi, et al. [33,38]) and there are a plethora of peer-reviewed papers and scientific publications providing robust paradigms for creating an environment for muscular adaptation (Hickson, et al. [1,30,39]). Many of these studies concentrate their attention on high-magnitude mechanical loading followed by protein feeding resulting in an augmentation of MPS and thus, over time, muscle hypertrophy (Cermak, et al. [3,39]). It has been established that to augment the adaptation of skeletal muscle tissue post resistance training an increase in protein consumption is required and in particular the amino acid (AA) leucine and supplements derived from leucine i.e., hydroxy methylbutyric acid (HMB) have been shown to be effective [40]. Leucine functions directly with mammalian target of rapamycin (mTOR), during resistance training mTOR activation is inhibited by AMP Activated protein kinase (APMK) as AA’s become available for energy metabolism. However, during recovery AMPK activation is decreased and mTOR reaches peak activity and as mTOR is known as an important signalling molecule involved in muscle hypertrophy it is important to potentiate its activation [41,42].

With the addition of protein to the habitual diet to enhance the anabolic environment post training other supplements have been determined to be effective. Although, there are a plethora of novel supplements available few supplements have been researched with more veracity than protein and creatine. These supplements have proven to have ergogenic characteristics and while the scientific evidence is esoteric, the general principles are known by the public therefore it would be prudent to ensure the validity of these claims and ensure that the public are utilising these supplements correctly. Creatine is unquestionably one of the most researched supplements of the past 30-years, the efficacy of creatine is well documented; it augments phosphocreatine (PCr) energy stores; augmenting PCr resynthesis; and reducing muscle damage through buffering the increases in lactate and hydrogen ions. However, there is no clear evidence that creatine directly enhances MPS and thus muscle strength adaptation however, it does impact performance positively by enabling greater force production. This creates an optimal environment to work/train with higher intensity over a short period of time, with this maximal intensity damage to the musculature is enhanced resulting in adaptation. The augmented response to training and the congruent adaptation results in hypertrophy and therefore an increase in the CSA of the muscle. (Wilder, et al. [43-50]).

With the addition of the traditional aforementioned supplements there has been a surge in research into additional supplements that will enhance the recovery and adaptation post mechanical loading protocols. Metabolites of leucine including Hydroxy methylbutyrate (HMB) and Hydroxyisocaproic Acid (HICA) are being increasingly used as supplements to augment the impact of leucine on the mTOR pathways to enhance MPS (Gallagher, et al. [51-54]). With HMB purporting to have anticatabolic actions acting antagonistically against the effects of acute bouts of resistance training where there is an increased breakdown of protein. HMB partly prevents this exercise induced proteolysis thus, causing assuaged muscle damage and therefore recovery becomes more expedient and gains in MPS follow (Phillips, et al. [19,20]). These effects have been observed in both young and elderly adults (Nissen, et al. [55]). There is substantial evidence that supplements augment skeletal muscle adaptation as a result of high-magnitude mechanical loading however, there is little evidence of the rate of adaptation. The accepted and established paradigm is that neurological changes occur within the first 2-3 weeks of training and morphological adaptation does not initiate transpire until after that period. Moreover, there is little known regarding the effects of the addition of supplements to in the equation, will there be a direct correlation with known studies evidencing an augmented response to supplement ingestion over a 12-week period when applied to a resistance training protocol or will this increase occur more expediently after 2-3 weeks rather than 6-8 weeks (Gabrie, et. [56,57]).

Aims of the Review

Research indicates that there are many parameters influencing adaptation time induced by mechanical loading, including intensity, load, duration and enhanced neural drive (which has an immediate response) (Hickson, et al. [1,2]). However, morphological changes do not occur in muscle tissue until after three to four weeks of high-magnitude resistance training. To elucidate further, neural adaptation increases the plasticity of the force generating capacity of the neuromuscular system which leads to enhanced muscle strength leading to greater adaptations (Fimland, et al. [2,58]). The inclusion of an enhanced nutritional regime with the addition of supplements, including but not limited to whey protein, leucine, HMB and creatine to augment the recovery process caused by mechanical stress (Vandenberghe, et al. [59,60,30,31,46,7,61,54]) could impact the temporal dynamics of strength adaptation. The rationale of the review therefore is to evaluate available peerreviewed studies for specific criteria relating to or including temporal dynamics (time-course changes) during strength training protocols over a period of at least 6-weeks (max. 12-weeks) with the addition of a nutritional/supplement intervention. With the aim of the review to elucidate current paradigms with special attention on potential gaps in current research. For the purpose of this study, the term ‘supplement’ will be used to refer to any oral product designed to augment the effects of resistance/strengthtraining exercises i.e., protein, leucine, HMB and creatine. There are cornucopia of studies relating to resistance training protocols to enhance muscle adaptation including studies that comprise a supplement element. However, these studies predominantly use pre- and post-intervention data to evidence adaptation, this review will use only data given from time-based adaptations to resistance training with a supplement intervention included (with a minimum of pre-, mid- and post-adaptation data).

Examining the temporal dynamics of muscular strength adaptation is vital as the information provided from researched based evidence could be used to provide a protocol for strength and recovery training programs. As discussed previously there is a convention regarding strength adaptation over a 10-week plus intervention, the evidence that adaptation does occur as a result of resistance training is overwhelming. There is also evidence that supplementation augments this adaptation however, at what time-point does the supplement augment the conventional muscle adaptation as this change could impact a training schedule. As supplements are utilised as ergogenic aids, with the paradigm that they elicit enhanced performance via maximising muscular adaptation as a result of training it is essential that the parameters are known. Paradoxically, using supplements to augment the recovery process thus potentiate muscle adaptation via resistance training could have adverse consequences. There could be imbalances in adaptation between muscle and tendon tissue thus causing disparities within the muscle-tendon-unit (MTU) (Mersmann, et al. [21]) this could potentially cause tendinopathy. Naturally, there are also implications for the development of training protocols to be considered for sports scientists, coaches etc., to use with their athletes. Regular adjustments will need to be assessed if the athlete has added supplements to their diet, ensuring that adequate stimuli is maintained to continue with training progression [55,62]).

Therefore, the objectives of this review are to find evidence of resistance training protocols that elicit strength adaptations over a time-course when a supplement intervention is added and to compare these results to a control group to evidence phases of adaptation. The resultant evidence may indicate a differential between the temporal dynamics of resistance training with and without a supplement intervention. Therefore, if there is found to be a correlation between supplement intervention and an increase in temporal dynamic adaptation the type of supplement and dosage will be exposed.

Materials and Method

The review was conducted in accordance with the search strategy guidelines using the criteria of the Preferred Reporting Items for Systemic Reviews and Meta-Analysis. The review was conducted via electronic databases search for peer-reviewed papers examining temporal dynamics of muscle strength adaptations resulting from supplement ingestion. With the term ‘supplement’ referring to oral consumption of a nutrient purported to augment the adaptation of muscle tissue as a result of mechanical stimuli [55]. The electronic searches were limited to English language citations published in PubMed database and Google Scholar from 1980 onward DISCOVERY resources at London South Bank University were also utilised for the initial citation and abstract searches. Additional refined searches were conducted to also include conference papers using EBSCO host which included the data bases Medline, ScienceDirect, Wiley Online and SPORTS Discuss. A combination of the words and phrases associated with the subject matter were used in the search; ‘muscle adaptation’, ‘strength training’, ‘time-course adaptations’, ‘temporal dynamics’, ‘resistance training’, ‘nutritional response’, ‘muscle strength’, ‘HMB Hydroxy Methylbutyrate Acid and adaptation’, ‘leucine and strength adaptation’, ‘protein and muscle adaptation’, Creatine and muscle strength’, ‘creatine and performance over time’, ‘supplements and muscle adaptation’. Further references were sourced through manual crosschecking of peer-reviewed papers that pertained to the relevant search criteria ensuring absolute saturation of related papers.

Primary citations and abstracts were searched for the following criteria and peer-reviewed papers were included therein:

a) Studies published in English

b) Randomised controlled or controlled trials

c) Studies containing a nutritional intervention related to augmenting strength increases

d) Studies pertaining to resistance training where the primary aim was to increase muscle strength via training frequencies of more than twice weekly

e) Studies which had a duration of no less than 6-weeks

f) Studies measuring muscle strength in terms of 1 maximal repetition (1RM) or maximal voluntary contraction (MVC) preintervention, at least once during intervention and at the end of the intervention

g) A placebo control administered

h) Peer-reviewed papers post 1980. The studies included in the final review contained all the search criteria idiosyncrasies.

Results

Initially the databased search process yielded 410 studies with three studies identified through other sources leading to 413 studies after duplicates were removed. Thereafter, abstracts were read to ensure the relevance to the review, this led to the exclusion of 347 studies. The remaining 51 studies were fully read and examined in miniscule detail, which led to identification of a further 20 papers leading to 71 studies. Of the 71 studies examined 60 were excluded while 11 matched the criteria genus. Many of the studies were excluded due to the frequency of measurements taken. The vast majority of the studies examined only the measurements before and after the intervention, heralding interesting results but not the results required for the review. Figure 1. represents evidence of the search process with the PRISMA search flow diagram. (Table 1). summaries each study. The details of the 11 peer-reviewed papers include in the review indicate that of the total 362 participants ~66% were male adults and ~34% were female adults with an age ranged between 18-93 years. Of the studies examined ~64% of the studies recruited exclusively male participants while ~27% utilised both genders with the remaining ~9% devoted to female participants. Regarding intervention duration, ~90% (n=10) were over 10-weeks with only one study lasting less that 10-weeks. However, the study lasting 6-weeks had measurements taken every 10-days for 40-days and then again at 6-weeks producing interesting data. The reviews characteristics pertained to a subject group that predominantly abstained from resistance training activities with ~73% of the studies including ~67% of the total participants. Only 27% of the studies reviewed used participants that used resistance training activities. A similar trend was established for the age of the participants with studies containing older adults comprising of ~64% of the total. With only one study recruiting sedentary women only between the ages of 19-22 years and three using trained individuals between 18-39 years.

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Figure 1: PRISMA search flow diagram (PRISMA; Moher et al., 2009).

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Table 1: Brief descriptions of each study.

The nutritional interventions used in the selected studies include supplements containing protein including protein enriched with leucine, HMB and creatine. Of these studies ~64% utilised a self-reported food diary/log, the studies used dietary records of between 3 and 7-days to analyse habitual diets of the participants. Only ~9% of the studies utilised meal standardisation for the duration of their studies (25% protein, 50% carbohydrate and 25% fat) however, a further ~27% did require a standardised meal scheduled to be used the day prior to testing/measurements. It is interesting the note that ~55% of the studies reviewed focused on protein (including protein enriched with leucine) with ~67% of these studies using a minimum of 20g as an addition to habitual diet. HMB supplementation consisted of ~27% of the studies reviewed with a standardised 3g taken per-day. The remaining ~18% (n=2) studied the effects of creatine both these studies used a ‘loading’ phase of 20g per-day split throughout the day followed by a maintenance phase, using 5g per-day for one study. The second study had a high (5g) and low (3g) loading phased approach for 4-days (total of 20g and 12g respectively) then maintenance of 5g and 3g respectively for the remaining duration. Regarding resistance strength, analysis of upper and lower limb muscle groups were tested and measured with ~73% of test completed on the lower limbs and ~27% on both upper and lower body tests. The tests used to measure the strength of the muscle included 1-repetition maximal lift (1RM) and/or dynamic training strength (5RM) and/or isokinetic strength measurement or a mixture of all three. Of these measures 1RM was the most prevalent measure used (with ~73% of studies using this method) with ~36% of the studies using isokinetic strength measures either independently or with other measures (other measurements e.g., free-fat mass was taken in each study; however, these measures were not directly pertinent to this review albeit very interesting).

The results of the reviewed studies are consistent with previous studies relating to the adaptation of skeletal muscle to resistance type training with specific regard to this review where studies were categorised to utilise high-magnitude training protocols >65% 1RM intensity. All of the reviewed studies evidenced adaptation to training regardless of supplement intervention or placebo given. However, it was interesting to note that Stout et al., 2013 evidenced that when HMB was taken as a supplement over a 24-week period without resistance training there were still significant mid- and post-testing adaptations. Interestingly, when resistance training was applied congruent to the previously mentioned paradigm there were significant changes at mid- and post-testing also however, there was not a significant difference between HMB and the placebo. Which contradicts Wilson et al. (2013) which demonstrated that HMB supplementation was significantly greater at 4, 8, and 12-weeks than the control group. The results of the protein supplement intervention confirmed that resistance training with high-magnitude led to increases in muscle strength adaptation at each time-point. All of the studies utilising protein as the supplement intervention used a control to evidence contrasts with the exception of (Esmarck, et al. [30]) which used pre-exercise and 2-hours post-exercise supplement interventions as comparisons rather than using a non-training placebo, again these showed mid-point (6-weeks) and post-trial (12-week) significant results, yet with no differential between interventions. The other protein interventions reviewed indicate there was no significance between intervention and control group regarding strength increase measurements. With the exception of (Trabal, et al. [63,64]) which evidenced that although there was no statistical significance at 12-weeks for isometric leg strength gains, betweengroup differences could be considered clinically significant at each time-point.

Creatine supplementation has been universally accepted to enhance performance with multiple short-term work bouts, improve recovery and long-term adaptation to training (Vandenberghe, et al. [59,60,43,65,49]). This review contained two studies that used creatine supplementation based on the criteria of reviewing temporal dynamics of strength adaptation and the differential between creatine consumption in the short-term and a control. The results of the two studies included in the review are not concomitant with each other, the results differ as (Wilder, et al. [45]) evidence significant time effects for 1RM strength increases, before and during, and during and after, and before and after supplementation. However, these data are similar to the control group which also showed increases in maximal strength thus showing that the addition of creatine (both low and high does) did create a significant differential (noting that the participants were trained athletes and their diets were not standardised). However, (Vandenberghe, et al. [59]) evidenced that creatine supplementation significantly increased 1RM strength after 5-weeks of resistance training with all six-exercise measured test showing improvements by +25 to +57% whereas, the placebo only increased in three measures tested (+15 to +40%). At 10-weeks the creatine group again showed greater difference in all strength tests evidencing that in lower leg measurements there was a 20- 25% greater strength adaptation than the placebo group. Thus, indicating that creatine supplementation can enhance strength over the short-term as well as the long-term.

Based on the information gathered from the review it is in congruent that the current strength training paradigm does evoke adaption of muscle tissue. However, it has also been established that a strategy of adequate nutrition in the form of additional protein potentiates the adaptation of muscle tissue as a result of resistance exercise (Cermak, et al. [3]). Moreover, of the studies reviewed that used protein as a supplement (with a control/ placebo) ~80% evidenced no statistically significant differential between supplement intervention and placebo at each time-point. Overall, this review does evidence that there was an increase in strength adaptation at the mid-point of each study for both intervention group and placebo (a mean time-point of 6.7-weeks). Additionally, further adaptation at the end of each 10-week and 12-weeks with additional increases thereafter in the three studies lasting 24-weeks. In Summation, there are a plethora of variables that could impact and skew the results of this review, as the search criteria has concise constraints the quantity of studies included in the review limits the data. These results suggest the predominant factor in strength adaptation is resistance training at magnitudes >65% 1RM regardless of supplement intervention, age and gender.

Discussion

This review was designed to extrapolate evidence from relevant peer-reviewed papers related to the effect of supplements coupled with the mechanical modality of high-magnitude resistance training on the temporal dynamics of muscular strength adaptation. Presently, to the knowledge of the authors the present review is thought to be the first review conducted specifically focused on the effects of supplementation on the temporal dynamics of muscle strength adaptation. The results of this review are congruent to the paradigm that resistance training containing intensities of >65% of 1RM induces muscular adaptation resulting in the augmentation of strength (Hickson et al., [1,2,25,16]). At each time-point across the total population of the review there was an increase in strength adaptation for both the training with intervention groups and the ‘control/placebo’ groups (with training but no supplement intervention). Indicating that the main protagonist in muscle strength adaptation is resistance training. These data were expected, as previously cited via adaptation mechanisms initially as a result of neural drive and the adaptation thereafter (Schuenke, et al. [4]). The review evidence that the initial adaptation occurs at a mean of the studies reviewed of ~6.7-weeks, the ‘mid’ period of the studies reviewed. The was one study which was not within same parameters as the other studies, this study measured strength every 10-days for 40-days and then subsequently on the final day, day-60. Again, there were incremental increases but this time it was over a shorter period of time, with each 10-day period evidencing early onset adaptation which continued until the end of the study (worth noting that the participants were untrained healthy older men).

The trend of the control groups which involved resistance training with no supplement intervention corresponded to the results of the supplement intervention groups examined in the review. All the studies showed an augmented response to resistance training in muscular strength when a supplement was included to the participants habitual diet. Although, many studies included food-diaries to monitor nutritional intake to eliminate potential outliers, only one study actually requested standardised meals to be used by their participants throughout the trial (other studies used standardised meals prior to testing days). This lack of conformity within the selected studies could have had an impact on the supplement intervention groups. Moreover, the lack of diet control may have skewed the results of the supplement intervention group for the individual studies. As the nature of taking a supplement is an exogenous addition to a nutritional regime if the aforementioned diet has for example adequate protein intake, and the intervention group has an extra 20g protein per day this ‘supplement’ may not have such an impact as 40g per day. However, again noting that the results of the review for both the control and supplement intervention groups indicating augmented adaptation to resistance training regardless, with only ~27% showing significant difference between the two measures. These data are not indicative to current knowledge regarding supplementation particularly protein which has numerous purported benefits in muscular adaptation (Volek, et al. [23,28,7,32,39,63]). Moreover, with protein requirement post-resistance training being axiomatic there must be other considerations to contemplate within group difference i.e., the type of protein consumed, the amount of protein consumed, and the timing of the protein consumed (protein-feeding). It has been shown that the muscles response to amino acids (AA) is transient and that the amount of protein absorbed is limited, subsequent to a single bolus of whey protein, after a latent period of 45-minutes MPS was augmented by approx. 200% for up to 90-minutes post consumption. This was prior to normal absorption rates, regardless of the availability of intramuscular and/or plasma leucine and essential AA (Atherton, et al. [36,42,25]). Thus, evidencing that there is a response to saturation of AA for a limited time of between 60-90 minutes where the rates of MPS (which results in strength adaptation) augments before returning to normal levels regardless of the amount of protein consumed or the availability of protein at that time, this has been referred to as the ‘muscle full theory’ (Atherton, et al. [36]).

The ‘muscle full theory’ indicates that there is a finite level of protein that is required to elicit MPS, and that leucine is the prominent AA that triggers the response. However, it is interesting to note that only two studies used >40g of protein per-day. One study used a total of 48g of protein (40g whey and 8g casein) this was ingested within 2-hours of exercise and on non-training days in the morning with a habitual diet. Although, this study did evidence an increase in fat-free mass during the study and an increase in the strength parameters set over time it did not indicate significance between groups at each time-point (over a 10-week period). However, (Trabal, et al. [64]) evidenced that the use of 40g of protein (to achieve a minimum of 5g leucine content) taken twice per-day did show differences between groups which were considered clinically significant. The other studies appeared to use the standard paradigm for protein intake, with the accepted textbook standard being 20- 25g of protein consumed post-exercise [15]. Notwithstanding, the amount of protein administered in the studies reviewed could have had an impact on the outcomes. Evidence from (MacNaughton et al. [17]) indicating that whole body resistance training responds more favourably to 40g of protein consumed post-training rather than the standard 20g of protein recommended post-resistance exercise. Although, this information seems contrary to one of the aforementioned studies in the review which administered >40g of protein (fat-free mass did increase which can be a marker for muscular adaptation), there is evidence that 40g of whey protein is the optimum amount of protein to consume to elicit maximum MPS (MacNaughton et al. [17]). Whereas the majority of the other studies in the review did not use the optimal amount of protein to elicit a response which may have led to limitations. Thus, utilising this methodology alongside Atherton’s ‘muscle full theory’ would create a perfect post-exercise protocol to ensure participants could achieve maximal MPS therefore, ensuring the best possible conditions for muscle strength adaptation.

This review also highlighted the effects of HMB supplementation with ~27% of the papers reviewed administering HMB to their participants. With all of the studies using the standard dosing of 3g per day, this protocol has been shown to be the optimum dose to achieve the purported anticatabolic actions (Gallagher, et al. [50- 53]). With HMB purporting to have anticatabolic actions as a result of acute bouts of resistance training where there is an increased breakdown of protein, HMB partly prevents this exercise induced proteolysis thus causing reduced muscle damage therefore, recovery becomes more expedient and gains in MPS follow. These effects have been observed in both young and elderly 70-plus adults (Nissen, et al. [55]). This is why HMB is being studied and why it may have benefits as a supplement for improving recovery and subsequent adaptation and muscular strength. Of the ~27% of studies administering HMB, ~33% of the studies reviewed evidenced significant difference between the control group and supplement intervention group. These data evidence that temporal dynamics is significant at each time-point however, the remaining ~67% of the studies evidence the contrary. Fascinatingly, the one study that used standardised meals ensuring that a minimum intake of 25% protein (thus perhaps changing the dynamics of their habitual diet) showed significant results in the difference between groups. Remarkably, one study (Stout, et al. [66]) showed that there was significance between a non-trained control group and a nontrained HMB supplement group, evidencing HMB can augment strength adaptations without resistance training.

The review also considered creatine as a supplement with ~18% of the studies reviewed using creatine as their supplement of choice. Understandingly, creatine was chosen as it is unquestionably one of the most researched supplements of the past 30-years, the efficacy of creatine is well documented; it augments phosphocreatine (PCr) energy stores; increasing PCr resynthesis; and reducing muscle damage through buffering the increases in lactate and hydrogen ions. However, there is no clear evidence that creatine directly enhances MPS and thus muscle strength adaptation however, it does impact performance positively by enabling greater force production. This creates an optimal environment to work/train with higher intensity over a short period of time, with this maximal intensity damage to the musculature is enhanced resulting in adaptation (Louis, et al.). Nevertheless, if you do not have rigorous training protocols with continued high-magnitude training but rather use low-magnitude training over a short period of time, there is little need for creatine as a supplement to buffer metabolites, or to implement direct MPS (Wilder, et al. [43-49]).

The two studies that applied creatine as their supplement intervention were not completely homogeneous, one study used highly trained individuals and the other study used sedentary adult females. They also used different loading and maintenance protocols with (Wilder, et al. [43]) using high and low doses (20g and 12g loading and 5g and 3g maintenance respectively) and (Vandenberghe, et al. [59]) using the standard 20g loading and 5g maintenance protocols. The results of the (Wilder, et al. [43]) study containing highly trained individuals evidenced an increase in both the control and intervention groups in strength adaptation. With hitherto, no within group significant differences at any time-point during the study for high or low dose regimes (the diets of the athletes were not standardised nor controlled also; the participants known supplement regimes may not have been adequately investigated). Whereas the results of (Vandenberghe, et al. [59]) containing sedentary participants evidenced significance at each time-point (5- and 10-weeks) between groups. These results indicate that creatine supplementation can impact muscle strength adaptation after only 5-weeks, whereas it is notionally accepted that repeated resistive exercises engaging the ATP-PC energy system evidences more expedient results than when 1RM measures are tested (Wilder, et al. [43]).

Notwithstanding, it would seem counterintuitive to use creatine as a standalone predominant supplement for strength adaptation as it is not a direct potentiate of MPS. Also, the level of intensity of the mechanical modulation needs to be high. To augment the adaptation of muscle tissue, protein and in particular the AA leucine and supplements derived from leucine i.e., HMB as previously noted would be the obvious supplement to administer in intervention protocol to increase muscle adaption [26]. Leucine functions directly with mammalian target of rapamycin (mTOR), during resistance training mTOR activation is inhibited by AMP Activated protein kinase (APMK) as AA become available for energy metabolism. However, during recovery AMPK activation is decreased and mTOR reaches peak activity and as mTOR is known as an important signalling molecule involved in muscle hypertrophy it is important to potentiate its activation [41,42]. To elucidate the relationship between mechanical loading and leucine, a group of young (24-years) and a group of elderly (63-66-years) participants received intravenously infused leucine post resistance-exercise and the results at the end of the 2-week trial evidenced that both groups increased their MPS (Yarasheski, et al. [67]).

This review does have its limitations, the number of peerreviewed papers relating to temporal dynamics of strength training adaptations with a supplement intervention are inadequate. Of the studies reviewed there were few comparisons that could be met; with each having different dosages of the same/ similar supplement, differences in supplement administered, age differences of participants, trained or untrained status, standardised meals or habitual diet etc. Nonetheless, there were enough similarities to draw trends, resistance high-magnitude training increased muscular strength adaptation regardless of age or activity levels, supplements provide additional adaptation in each study but only clinically significant in ~27% of studies reviewed. Most importantly temporal dynamics were evidenced, with changes in muscle strength adaptation at each time-point in each study. Notwithstanding, lessons can be learnt from the limitations of the review, with areas of improvement for future trials. Standardised nutritional meal plans must be adhered to alongside pre-intervention food-diaries to understand the habitual diets of all participants to ensure the gold-standard for nutritional interventions. This should be a fundamental requirement to ensure adequate data alongside the correct mechanical modulation techniques for muscular strength adaptations (dependant on age demographic and gender considerations) to standardise two clear elements.

It is interesting to reiterate that when standardised meals were incorporated in a study and also, when the supplement included >40g protein to be taken twice per day the results were positive at each time-point. This leads to the question that if strength adaptation in muscular tissue occurs earlier than expected (the majority of previous studies evidence before and after measures and are usually 8+ weeks in duration) how that impacts muscular synergistic tissues such as tendinous tissue. The discrepancy with temporal dynamics of muscle and tendon adaptation caused by the use of high-magnitude training could have implications on the mechanical loading of the complex, with the disparity between muscle strength and quality of the tendon stiffness to tolerate said mechanical loading. Again, this discrepancy could be exacerbated with the addition of nutritional supplementation.

As previously cited, supplementation of leucine post-exercise accelerates MPS and thus muscle tissue adaptation. However, there is also evidence in intervention studies that leucine also has an effect on collagen in tendinous tissue, with an augment in hydroxyproline content of the tension region, independently of training intervention and a greater increase in collagen synthesis when combined with exercise (Barbosa, et al. [68,69]). This would suggest that leucine has anabolic qualities for both muscular and tendinous tissue nonetheless, this adaptation may not be uniform. One might postulate that the impact of the supplementation intervention will exacerbate the increase in muscular strength without a corresponding increase in tendon stiffness. This may result in an imbalance within the muscle-tendon-unit, with the muscle producing more mechanical force this augmentation in mechanical demand on the tendon will lead to potential vicissitudes resulting in susceptibility to injury (Epro, et al. [70-93]).

Conclusion

This review suggests that muscular strength adaptation occurs as a result of high-magnitude strength training (>65% 1RM) regardless of age, gender and activity level after a short period of training with mean significant adaptations at ~6.7-weeks. These data correlate with both the training and placebo (control) groups in each trial and the supplement intervention groups with all groups experiencing augmented strength adaptation, and ~27% of the studies demonstrating significant differences between the placebo and the intervention groups. With the knowledge that initial adaptation of skeletal muscle when high-magnitude mechanical modalities are applied results in augmented muscular strength adaptation, the ingestion of supplements that could potentiate this effect to a greater extent need to be measured alongside tendinous tissue response. The potential differentiation in adaptation could create additional influence on the associated tendon tissue that may not respond as expediently as muscle tissue, resulting in potential tendinopathy. Moreover, an athletes’ coach/trainer must be made aware of the potential counterintuitive nature of supplementation and that high-magnitude resistance training may elicit strength gains faster than expected as a result of exogenous nutritional support. Therefore, a nutritional framework alongside training regimes needs to be applied synergistically with repeated testing to ensure potential injury risk is limited. Furthermore, future studies need to look directly at the temporal dynamics of muscular and tendon tissue strength adaptation in relation to highmagnitude mechanical modulation with supplement intervention to explore potential discrepancies in time adaptation as to prevent vicissitudes.


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Monday, September 21, 2026

Detection of Chlamydia Trachomatis Antigen and Associated Risk Factors among HIV Positive Men on HAART in a Tertiary Health Institution, South-West Nigeria

 

Detection of Chlamydia Trachomatis Antigen and Associated Risk Factors among HIV Positive Men on HAART in a Tertiary Health Institution, South-West Nigeria

Introduction

Chlamydia trachomatis, the aetiology of chlamydia, is a coccoid bacillus that is closely linked to Gram-negative bacteria (Cheesbrough [1]). The organism is a member of the Chlamydia genus, which also contains organisms formerly referred to as PLT (Psittacosis Lymphogranuloma venerum Trachoma group) or TRIC (Trachoma Inclusion Conjunctivitis group) species (Collee, et al, [2]). There are fifteen (15) serotypes of Chlamydia trachomatis. These include L1-L3 which causes lymphogranuloma venerum (associated with genital ulcer disease in tropical countries), D-K which causes genital tract infection and trachoma (chronic conjunctivitis common in Africa and Asia). Chlamydia trachomatis serovars D-K are responsible for the treatable STD Chlamydia (CDC [3]). One of the most common sexually transmitted diseases in the globe is the illness that results from an infection of the lower genital tract (Gerbase, et al. [4]; Beagley and Timms, 2000). The World Health Organization (WHO [5]), estimates that 101 million chlamydial infections occur each year globally. According to the Centers for Disease Control and Prevention, 2.8 million Americans contract the disease annually (CDC [3]). More than 90% of the population in some thirdworld nations is infected with Chlamydia trachomatis (Gomes, et al. [6]). Chlamydial infection is often without symptoms; in fact, 50% of men and 80% of women do not exhibit any symptoms, which is why it is known as the “silent disease” (Gaydos et al., 2018; CDC [3]; Wodarz and Hamer [7]). If symptoms are present, they might merely last a few days, go unnoticed, or not be given much weight (Kidshealth, 2006). Itching in the urethra, frequent and painful urination, sores on the penis, scrotum, or anus, penile itching, and discharge that may be watery, white, or hazy are among the clinical signs in males when they are present. Infection can virtually spread to any part of the body (lungs, heart, eyes, muscles, prostate gland, etc.). Impotence is a critical complication of chlamydial infection in men (CDC [3]; Al-Mutairi, et al. [8]).

Chlamydial infections that are symptomatic lead to a two- to five-fold increase in HIV transmission and acquisition. Chlamydial blisters and sores can worsen HIV infection, lower CD4 counts, and increase viral loads in patients who already have the virus. On the other hand, having HIV makes one more likely to get a neurochlamydial infection. It might affect chlamydial’s clinical characteristics and treatment outcomes. HIV infection might be linked to treatment failure for chlamydial, particularly if neurochlamydial was diagnosed later than expected. Additionally, Chlamydia can mimic several clinical manifestations and harm HIV-positive patients’ cardiovascular and neurological systems severely. Epidemiological research has also demonstrated that untreated genital Chlamydia infection increases the likelihood of heterosexual Human Immunodeficiency Virus (HIV) transmission. Consequently, CTI screening in high-risk populations can help with the development of HIV risk reduction strategies (Joyee, et al. [9]). It is a known fact that Chlamydia causes localized inflammations and immunological reactions that are marked by the increase and infiltration of immune cells with CD4 surface proteins necessary for HIV binding prior to entrance, which also makes HIV more likely to enter the body (Altes et al., 2012; Joyee, et al. [10]; Wodarz and Hamer [7]) and therefore an important risk factor for the development of genital tracts infection among the HIV infected individuals. This is not unconnected to the weak immune status of such individuals. However, since infection with C. trachomatis is effortlessly curable, early detection and treatment of infected sufferers is important to halt the cycle of infection among the populace (Haggerty, et al. [11]).

Even though it is treatable, Chlamydia trachomatis genital infection is one of the most common bacterial sexually transmitted diseases (WHO [12]; Patel, et al. [13]). The WHO estimates that 92 million new cases of C. trachomatis infection occur annually worldwide, with roughly two-thirds of these infections occurring in underdeveloped countries with limited access to diagnostic and treatment options (Patel, et al. [13]). The majority of Chlamydia trachomatis infection (CTI) epidemiological data comes from industrialized countries. Unfortunately, trustworthy data from resource- poor developing nations with high burden of the disease is not readily available. However, despite this challenge in data gathering, it’s still crucial to scientifically document the frequency and prevalence of CTI from the poor world using laboratory tests. To the best of our knowledge, no work has been done to assess the prevalence of Chlamydia trachomatis antigen among HIV positive men on HAART attending the HIV clinic at the Nigerian Institute of Medical Research (NIMR), Lagos state, Nigeria. Besides there is need to identify risk factors that predispose male individuals in this setting to Chlamydia trachomatis infection. Scarcity of information in this regard, therefore, necessitates this study.

Materials and Methods

Study Design

This is prospective institutional-based research.

Study Area

This epidemiologic study was carried out among male HIV patients attending HIV clinic at the Nigerian Institute of Medical Research (NIMR), Yaba, Lagos State, Nigeria. NIMR is a government- own research institute which deals with human genomics studies among other things. Yaba is a geographical area located in Lagos state, Nigeria coordinates: 6.5095oN, 3.3711o

Study Duration

The research was carried out between the months of May- July 2022.

Study Population

Adult males aged 18 and older who were HIV and non-HIV positive participated in this cross-sectional institution-based study in Lagos State, Nigeria.

Sample Size Calculation

The sample size for this study was determined using the following formula (Pourhoseingholi, et al. [14]):

Where:

N= minimum sample size required

Z= confidence interval (1.96)

P= prevalence rate of HIV Chlamydia trachomatis co-infection in a tested population

D= desired level of significance (0.05)

The minimal sample size required was calculated using a 95 percent confidence interval, a P value of 0.019, i.e., a prevalence rate of 10.2 percent for HIV-Chlamydia trachomatis co-infection among male patients from a prior study (Mohammad, et al. [15]), and a margin of error (d) of 0.05. To reduce errors caused by the possibility of non-compliance, 10% of the sample size was added.

Z =1.96

= 10.2% (Mohammad, et al. [15]).

d = 0.05

N = 1.962x 0.102 (1-0.102)

(0.05)2

N = 3.8416 x 0.102 x 0.898

0.0025

N = 0.3519

0.0025

N = 140.76

N=141

10% of 104: 10/100 x 1 41= 14.1 = 14

Sample size is therefore 141+ 14 = 155

The sample size is 155, based on a prevalence of 10.2% (Mohammad, et al. [15]). The number was scaled up to 159 for homogeneity and precision. Since the study’s goal is to test for Chlamydia trachomatis in two groups of participants: HIV-positive (Test) and non-HIV-positive (Control), A total sample size of 318 was obtained by multiplying the computed sample size by two (2).

Sample Size

A total of 318 samples (blood and urine) were collected 159 HIV-positive and 159 HIV-negative men attending the Nigerian Institute of Medical Research in Yaba, Lagos State.

Ethical Consideration

Ethical clearance was obtained from the Babcock University Health Research Ethics Committee (BUHREC), with ethical registration number: BUHREC 547/22, while the management of the National Institute of Medical Research, Yaba, Lagos State, gave administrative approval before the commencement of the study.

Eligibility of Subjects

Inclusion Criteria

HIV positive and HIV negative males attending the National Institute of Medical Research in Yaba, Lagos State, who are at least eighteen years old and have not received antibiotic therapy in the previous two weeks were randomly selected for the research.

Exclusion Criteria

HIV positive and HIV negative males under the age of 18 who were visiting the Nigerian Institute of Medical Research, Yaba, Lagos State, and who have been on antibiotic therapy in the last two (2) weeks were excluded from the study.

Consent

Each participant was given informed consent. Following a thorough explanation of the study’s objective and nature, as well as the method of sample collection, participants voluntarily completed the permission form in their own handwriting and sign it as proof of their desire to supply samples for the test. They were assured that their information is kept private.

Blood Sample Collection for HIV Detection

Two (2) ml of venous blood samples were collected into plain bottles and allowed to clot to obtain the sera from the patients.

Urine Sample Collection for Chlamydia trachomatis Detection

Five milliliters (5 ml) of first catch morning urine were obtained from the HIV and non-HIV patient and taken to the laboratory for the detection of Chlamydia trachomatis antigen.

Specimen Transportation and Storage

The blood and urine samples were sent to the Department of Medical Laboratory Science, Babcock University, Ilishan-Remo, Ogun State and evaluated within two hours after collection. All samples were transferred to the laboratory as quickly as feasible and processed on the same day they were collected. Each participant’s sample was taken and labeled on the specimen container with their unique identification number. The samples were processed as quickly as possible, they were not stored. But where delay was envisaged, they were kept in the refrigerator at 2-80C.

Laboratory Analyses

HIV Detection

The current National HIV sero-diagnosis methodology was used for HIV detection. This entails using three rapid diagnostic kits in accordance with the manufacturer’s recommendations. Each patient’s serum was examined using Determine (Alere Medical Co. Japan) and Unigold HIV to determine whether they had HIV antibodies (Trinity Biotech Plc Bray, Co. Wicklow, Ireland). The patient is regarded as HIV positive if both kits test positive, and vice versa. A third kit, the Tie Breaker 1/2 Stat Pak (Chembio Diagnostic Systems, New York, USA), is used when test results are ambiguous. One of the first two kits that is compatible with the third kit was used to determine the patient’s HIV serostatus. (Olayanju, et al. [16]; Digban, et al. [17]).

Detection of Chlamydia trachomatis antigen using rapid diagnostic kits

Chlamydia trachomatis antigen in participant’s urine (if present) was identified using DIAGNOSTIC AUTOMATION, INC, Calabasas’ Chlamydia trachomatis rapid test kit. It uses the Chlamydia trachomatis LGV type 2 widely responding antigen. It detects for antigen to Chlamydia trachomatis, Chlamydia psittaci, and Chlamydia pneumonia (TWAR). The test was carried out as directed by the manufacturer.

Principle

Each kit contains a qualitative immunochromatographic lateral flow test in cassette format for detecting C. trachomatis Antigen in urine. The anti-C. trachomatis antibody test is a one-step Chlamydia immunoassay based on the immunochromatographic principle for the rapid, qualitative detection of anti-C. trachomatis Antigen (a clinical specimen is gotten and placed into an extraction tube containing extraction solution in the assay procedure). On the surface of the C. trachomatis test cassette, the letters “T” and “C” stand for “Test Line” and “Control Line,” respectively. Before applying any sample that works successfully, the “Test Line” and “Control Line” in the result are not visible. Procedural control is handled by the “Control Line.” If the test procedure is followed correctly and the control line’s test reagents are operational, the “Control Line” should always appear. If there are enough Antigen against C. trachomatis in the urine sample, a pink “Test Line” will appear in the result window. No colour shows in the “Test Line” if Antigen against C. trachomatis are detected in the sample.

Procedure

• All samples and reagents were warmed to room temperature prior to testing (15-30oC).

• The urine sample were measured in milliliters (mL) and placed in the centrifuge tube. The urine sample was centrifuged at 3000 rpm for 15 minutes.

• The sediments of the urine were obtained, and the supernatant was discarded.

• Reagent B of the Chlamydia kit was added to the sediment and was allowed to stand for 5 minutes after mixing them together.

• After 5 minutes regent A was added to the sediments solution and was allowed to stand for 5 minutes.

• When it was time to start the test, the sealed pouch was opened by tearing along the notch.

• A pipette was used to pour the urine sediment (60l-80l, roughly 2-3 drops) to the sample well on the cassette.

• After 10-15 minutes, the results were read by observing the pink color migrate across the Result Window in the center of the test cassette.

• The result was not read after half an hour.

Interpretation of Results

Positive Result

A positive result is indicated by the appearance of two-color bands both in the test and control line regardless of which band emerges first.

Negative Result

A negative result is indicated by the existence of only one pink color band in the control line

Invalid Result

A complete lack of color in either region or the appearance of only one band on the test region suggests a technique error and/or deterioration of the test reagent.

Statistical Analysis

Microsoft Excel was used to enter the raw data. Statistics software package was used to conduct the data analysis (version 18.0). Significant variations in the prevalence of Chlamydia trachomatis antigen among the study participants was determined using one way analysis of variance (ANOVA). P values of less than 0.05 were deemed significant. Statistical significance is defined as a P-value of less than 0.05. Tables and charts were used to present the results.

Results

The present study investigated the prevalence of Chlamydia trachomatis antigen among HIV positive and HIV negative adult male patients attending National Institute of Medical Research, Yaba, Lagos State, Nigeria. A total of 318 subjects (159 HIV positive and 159 HIV negative) were enrolled and screened in the study. All study participants underwent a Chlamydia trachomatis test using a One-Step Chlamydia Test kit (GIMA). The sociodemographic distribution of the study individuals is displayed in Table 1 below. Most participants (30.8%) are over the age of 50, whereas only 0.6% of HIV-positive individuals are between the ages of 18 and 25. The same data also reveals that the majority (17.0%) and minority (6.3%) of the HIV-negative participants were, respectively, between the ages of 26-33 and 42-50.

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Table 1: Socio-demographic characteristics of the study participants.

In respect to marital status, majorities (35.5%) were married, and the minorities (0.0) of HIV negative subjects were married and widower. The same figure also reveals that most HIV-positive participants (44.0%) were married and only 0.0% were divorced. Regarding religion, Christians made up the majority (42.1%) of HIV-negative subjects, while Muslims made up the minority (7.9%). The same data also reveals that the majority (45.0%) of HIV-positive individuals were Christians, while the minorities (5.0%) were Muslims. According to the study participants’ educational levels, the bulk of them (32.6%) have completed university education, whereas the minority (3.1%) of HIV-negative individuals has no formal and primary education. Most HIV-positive subjects have secondary education (19.5%), while the minorities (2.5%) have no formal education. The prevalence of Chlamydia trachomatis antigen among the study participants is presented using a bar chart (Figure 1). Overall, regardless of their HIV status, only six (1.9%) out of the 318 of the study participants examined tested positive to Chlamydia trachomatis antigen.

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Figure 1: Prevalence of Chlamydia trachomatis antigen among the study participants.

Table 2 shows the prevalence of Chlamydia trachomatis infection based on the socio-demographic details of the study participants. Only one (0.3%) of the 159 study participants who tested negative for HIV had positive Chlamydia trachomatis antigen results, compared to six (1.6%) of the 159 people who tested positive for HIV. Out of 318 study participants, 4 (1.3%) of the participants are 50 years and older, 1 (0.3%) of the participants in the age ranges 26 to 33, and 1 (0.3%) of the participants in the age ranges 42 to 49, tested positive for Chlamydia trachomatis antigen. One widower (0.3%) and five (1.6%) of the study’s participants who were married both tested positive for Chlamydia trachomatis antigen. The married study participants are significantly higher than the widower study participant. Only the Christians with 6(1.9%) out of the study participant tested positive to Chlamydia trachomatis antigen. On the bases tribe 4(1.3%) of Igbos tested positive to Chlamydia trachomatis antigen, 1(0.3%) Yoruba tested positive to Chlamydia trachomatis antigen and then one person which is neither Yoruba, Igbo nor Hausa tested positive to Chlamydia trachomatis antigen. On the bases of educational status, 4 participants (1.3%) with secondary education tested positive to Chlamydia trachomatis antigen, 1 participant (0.3%) with primary education tested positive to Chlamydia trachomatis antigen and then 1 participant (0.3%) with tertiary tested positive to Chlamydia trachomatis antigen.

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Table 2: Prevalence of Chlamydia trachomatis infection according to the socio-demographic characteristics of the study participants.

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Table 3: Indications of Chlamydia trachomatis infection among the study participants.

Table 3 lists the signs of Chlamydia trachomatis infection among the research subjects. Out of the 318 study participant some indicated some signs and symptoms, 2(0.6%) of the study participant indicated that have body rashes, 2(0.6%) indicated that they have mild fever, 2(0.6%) indicated to have discharge in penis, 4(1.3%) indicated to have penis sore, 1(0.3%) indicated to have anal sore, 1(0.3%) indicated to have oral sore this study participants all tested positive to Chlamydia trachomatis antigen, none of the study participant which tested positive to Chlamydia trachomatis antigen indicated to having sore throat.

Table 4 shows the risk factors connected to the presence of Chlamydia trachomatis antigen among the study participants. Only 5 (1.6%) of the 6 study participants out of 318 who are positive always take their HAART medication. One person (0.3%) has heard about Chlamydia trachomatis out of the 6-study participant that tested positive to the bacterial. 4(1.3%) out of the 6-study participant which tested positive to Chlamydia trachomatis antigen share sanitary facilities without the other 2(0.6%) that tested positive do not share sanitary facilities. Out of the 6-study participant that tested positive to Chlamydia trachomatis antigen none of them shares underwear with others. Four (1.3%) out the study participant which tested positive to Chlamydia trachomatis antigen change their underwear everyday while 2(0.6%) that tested positive to Chlamydia trachomatis antigen change their underwear every two days. Three, 3(0.9%) out of the 6-study participant that tested positive to Chlamydia trachomatis antigen have history of sexually transmitted infection. Only 1(0.3%) out of the study participant that tested positive to Chlamydia trachomatis antigen engages in unprotected sex. 3(0.9%) out of the study participant that tested positive to Chlamydia trachomatis antigen have 1 sexual partner,1 (0.3%) has 3 sexual partner and 2(0.6%) have no sexual partner. None of the study participant that tested positive to Chlamydia trachomatis antigen have changed sexual partner recently. 4(1.3%) out of the study participant that tested positive to Chlamydia trachomatis antigen go for medical checkup very often, 1(0.3%) go for medical checkup often, 1(0.3%) go for their medical checkup less often.

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Table 4: Socio-demographic characteristics of the study participants.

Discussion

Chlamydia trachomatis (CT) infection is been known as the most prevalent bacterial sexually transmitted disease (STD) worldwide with huge impact on sexual and reproductive health, and because of failure to provide screening and treatment of Chlamydia trachomatis (CT) infection for HIV-infected population the infection begun to spread gradually and become clinically consequential as well as to fuel HIV transmission which makes it common in developed and developing countries (WHO [18]; Sama, et al. [19]).

In this study, we assessed the prevalence of CT antigen and associated risk factors among HIV positive men on HAART in Lagos State, Nigeria using One-Step Chlamydia Test kit (GIMA, Italy). The prevalence rate of 1.6% found in this study is lower than the 5.5% reported by Silva-Santisteban et al. [20] utilizing polymerase chain reaction among HIV-positive men in Central Peru (PCR). A higher prevalence rate reported by Silva-Santisteban et al. [20] may be due to differences in geographical location and methodology used. PCR has been reported to be more sensitive and precise than rapid diagnostic test kits. However, the 1.6% prevalence rate observed in this study is closely like the result of Monteiro, et al. [21] who reported 1.8% among HIV positive women in São Paulo, Brazil.

Comparing the 1.6% identified in this study utilizing the One- Step Chlamydia Test kit (GIMA) to the 45% found by Dangana, et al. [22] using the solid-phase EIA method and an immunocomb Chlamydia IgG kit among HIV men in Abuja, North Central Nigeria, the 1.6% was determined to be extremely low. However, compared to states in other parts of the country, the south-west states have a lower prevalence of HIV, according to the National Agency for the Control of AIDS (NACA, 2000). This helps to explain why there was such a low prevalence of CT in this study.

Furthermore, the 0.3% prevalence rate among HIV negative males in this study was discovered to be much lower than the 62.25% prevalence rate among HIV negative female sex workers reported by Sama, et al. [19] in a study conducted in Cameroon utilizing enzyme-linked immunosorbent test. The study participants’ socioeconomic features, including their gender and occupation, the prevalent environmental conditions in their local environment, and the methods utilized (sensitivity and specificity of the test kits used) could all be contributing factors to this disparity. Most times, especially in females, chlamydia infection has been observed to be asymptomatic. This helps to partially explain the high frequency among female sex workers found by Sama, et al. [19].

Additionally, it was discovered that the 0.3% seen among HIV negative guys in this study was marginally lower than the 2.0% reported by Martin, et al. [23] among University of Dschang, Western Region of Cameroon students using similar rapid diagnostic test kits. With regards to their age, men who are 50 years and above had the highest prevalence rate (1.3%), while the highest prevalence reported by Silva-Santisteban, et al. [20] were within the age range of 18-21 years, owing to their multiple sexual partners. Similarly, highest prevalence rate was reported among 26–45 years (35.6%) and 25-35years (35.29%) in a separate study both carried out in Vhembe District of South Africa by Mafokwane and Samie [24], and Sama, et al. [19], respectively, using real time PCR on urine samples. Likewise, in a study carried out by Okoror, et al. [25], a high prevalence rate of 43.9 % was also reported among women within the age range of 26–30 years, attending gynecological clinics in Southeastern Nigeria.

However, compared to HIV-negative patients, there is evidence that HIV patients are more susceptible to Chlamydia trachomatis infection because of immunosuppression. But, based on the outcome of this study only 1(0.3%) of the participant which tested positive to Chlamydia trachomatis infection engage in unprotected sex and other do use protection which could also made the prevalence of this infection to be less and this could mean that the prevalence of Chlamydia is not always associated with the reported HIV status and also the use of antiretroviral (ARV) may likely appear to reduce the risks and sequelae of Chlamydia infection (Sama, et al. [19]). The co-infection of HIV and Chlamydia trachomatis in the same person is not unusual because both infections are sexually transmitted. Chlamydia trachomatis’ principal symptoms may change because of HIV infection, making it difficult for sufferers to communicate their symptoms.

According to the findings of previous epidemiological studies, Chlamydia trachomatis prevalence among infertile women in Nigeria ranged from 9.6% to 51% (Nwankwo and Magaji, [26]), which is greater than the prevalence found in this study. Though, Dangana, et al. [22] in his study “Prevalence of Chlamydia trachomatis IgG antibodies within the HIV positive women tested when compare to that of the HIV negative women”, no significant increase was observed and buttress his findings by suggesting that it is unlikely that previous exposure to HIV induce a higher prevalence of Chlamydia trachomatis infection, but rather Chlamydia trachomatis infection facilitate the transmission of HIV which is in support with the findings of Mamodou, et al. [27] who also reported that Chlamydia trachomatis infection increases the risk of HIV transmission and acquisition as well further reported that that the invasive intracellular pathogenesis of Chlamydia trachomatis can cause substantial damage to the genital epithelia layer which may facilitate HIV infection (Andersen, et al. [28]) Though, another author reported that sexually transmitted pathogens, including non-ulcerative agent such as Chlamydia trachomatis may serve as biological cofactor for Human Immunodeficiency Virus (HIV) (Ngandino, et al. [29]).

In general, no significant difference was observed between socio-demographical characteristics of the participate and the prevalence of C. trachomatis, except with marital status where significant different was observe regard the present of the infection (X2=12.727, P= 0.013) with high prevalence found among patients who are married. Different from the result of Mafokwane and Samie, [24], whose prevalence rate was found among secondary level of education in Vhembe District of South Africa and different from the result obtain from study conducted in in New Caledonia (Corsenac, et al. [30]). One (1) sex partner only research participant showed a significant difference in risk factors related with Chlamydia trachomatis antigen incidence (X2=10.612, P=0.014), whereas other risk factors remained non-significant.

Also, indications of Chlamydia trachomatis infection among the study participants significant difference was seen from the response given by the participant on the sign such as Body rashes (X2=12.162, P=0.000), Discharge in the penis (X2=18.299, P=0.000), Penis sore (X2=56.332, P=0.000), Anal sore (X2=25.168, P=0.000) and Oral sore (X2= 25.168, P=0.000). The results of this study, however, demonstrate that regardless of HIV status, every infected person with Chlamydia trachomatis infection exhibited symptoms. History of STIs and having unprotected sex do not significantly increase the risk of contracting Chlamydia trachomatis in HIV-positive individuals. Additionally, it was found that HIV subjects with a history of STDs had a 0.391 lower chance of contracting Chlamydia trachomatis infection, whereas those who engaged in unprotected sex had a 2.718 higher risk [31,32].

Conclusion

The outcome of this study shows that CT antigen (1.6%) exists among HIV positive men attending the HIV clinic at National Institute of Medical Research (NIMR), Yaba, Lagos State. Hence, the clarion calls for the facility to include C. trachomatis antigen testing in their routine screening for HIV patients.

Ethical Approval

The Babcock University Health Research Ethics Committee (BUHREC), granted ethical approval for the project with registration number BUHREC 547/22.

Declaration of Interest

The authors report no conflict of interest. The authors alone are responsible for the content of this manuscript.

Data Availability

The data that support the findings of this study are available from the corresponding author, [Enitan S. S.], upon reasonable request.

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Figure 2: The data that support the findings of this study are available from the corresponding author, [Enitan S. S.], upon reasonable request.

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Figure 3: Picture showing a GIMA One Step Rapid Diagnostic Test Cassette negative for Chlamydia trachomatis antigen.

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Figure 4: Picture showing a GIMA One Step Rapid Diagnostic Test Cassette positive for Chlamydia trachomatis antigen.

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Effect of Nutritional Intervention on the Temporal Dynamics of Muscle Strength Adaptation

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